{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems.\n Responsibilities \n Revenue Platform Architecture \u0026 Development \n \n \n Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries\n \n Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations\n \n Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models\n \n Data Engineering \u0026 Pipeline Orchestration \n \n \n Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams\n \n Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements\n \n Systems Integration \u0026 Technical Leadership \n \n \n Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth\n \n Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort\n \n Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes\n \n Innovation \u0026 Continuous Improvement \n \n \n Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics\n \n Evaluate and implement emerging technologies to modernize integration architecture\n \n Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards\n \n Mentor team members on technical best practices, code reviews, and documentation standards\n \n Minimum qualifications \n \n \n Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses)\n \n Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606)\n \n Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development\n \n Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions\n \n Track record of leading technical workstreams during ERP transformations or major system migrations\n \n Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions\n \n Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards\n \n Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing\n \n Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability\n \n Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams\n \n Preferred qualifications \n \n Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations\n \n \n \n Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes\n \n Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios\n \n Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems\n \n Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials\n \n Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-par","salary_min":270000,"salary_max":315000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","llm","agents","api-design","alignment","data-pipeline"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5409055008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-29T06:34:37Z","expires_at":"2026-09-29T13:30:17.242138Z","created_at":"2026-08-29T13:30:18.244908Z","updated_at":"2026-08-30T13:30:17.394388Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/74bd7349-e7f3-4d98-a3f0-ba2a67cb91ec"},{"id":"c373a55c-edc7-4941-8d08-2344dd5aecb8","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (Remote)","slug":"solution-architect-remote-1a61487f","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abil","salary_min":170000,"salary_max":215000,"location":"Los Angeles, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["api-design","rag","agents","llm"],"apply_url":"https://jobs.ashbyhq.com/langchain/0a5dd30c-6da1-4095-bd96-b16f27eeb333/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:37:46.064Z","expires_at":"2026-09-29T13:32:17.380725Z","created_at":"2026-08-25T18:26:42.82559Z","updated_at":"2026-08-30T13:32:17.521844Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c373a55c-edc7-4941-8d08-2344dd5aecb8"},{"id":"f98249b2-813f-48ef-91e4-d2e791004bd2","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (Dallas)","slug":"solution-architect-dallas-51e1819a","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abilit","salary_min":170000,"salary_max":215000,"location":"Dallas, TX","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["rag","agents","llm","api-design"],"apply_url":"https://jobs.ashbyhq.com/langchain/933a41a3-43ca-44de-a0ae-f541149151b7/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:37:02.909Z","expires_at":"2026-09-29T13:32:17.004827Z","created_at":"2026-08-25T18:26:42.797861Z","updated_at":"2026-08-30T13:32:17.146898Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f98249b2-813f-48ef-91e4-d2e791004bd2"},{"id":"33db21e5-9d88-4de6-b2d0-3c134c649a65","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (Austin)","slug":"solution-architect-austin-318d756c","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abilit","salary_min":170000,"salary_max":215000,"location":"Austin, TX","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["agents","api-design","rag","llm"],"apply_url":"https://jobs.ashbyhq.com/langchain/da7cbabd-ceed-4d7d-ae25-f226cac0c1c1/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:35:30.849Z","expires_at":"2026-09-29T13:32:16.913568Z","created_at":"2026-08-25T18:26:42.792069Z","updated_at":"2026-08-30T13:32:17.052023Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/33db21e5-9d88-4de6-b2d0-3c134c649a65"},{"id":"a6cb1a62-a2ae-4b86-bb0a-c7210c241a8f","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (NYC)","slug":"solution-architect-nyc-299c723c","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abilit","salary_min":170000,"salary_max":215000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","agents","rag","llm"],"apply_url":"https://jobs.ashbyhq.com/langchain/f71210f9-12e1-4726-88b9-ebafa194d5b2/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:34:57.75Z","expires_at":"2026-09-29T13:32:16.823709Z","created_at":"2026-08-25T18:26:42.786487Z","updated_at":"2026-08-30T13:32:16.961733Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a6cb1a62-a2ae-4b86-bb0a-c7210c241a8f"},{"id":"9db2d343-2be2-476f-8816-846f2bbf743b","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Deployed Architect, Professional Services (San Francisco)","slug":"solution-architect-san-francisco-576342e0","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nWe're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.\n\nThis role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.\n\nThis role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.\n\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Infrastructure \u0026 Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines\n\n - Agent Engineering \u0026 Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations\n\n - Customer Engagement \u0026 Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams\n\n\nWHAT WE'RE LOOKING FOR\n\n\n\nREQUIRED EXPERIENCE\n\n7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply\n\nInfrastructure \u0026 Platform:\n\n - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)\n\n - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments\n\n - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices\n\n - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing\n\n - Experience designing high-availability and disaster recovery solutions\n\n - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)\n\n - Experience with CI/CD pipelines for infrastructure and applications\n\nAgent Engineering \u0026 Development:\n\n - 1+ years of experience building production AI/ML applications or agents\n\n - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications\n\n - Experience with state management patterns (short-term and long-term memory)\n\n - Experience designing and implementing evaluation frameworks for AI applications\n\n - Strong prompt engineering skills with experience in optimization and A/B testing\n\n - Experience with vector stores, RAG patterns, and knowledge organization\n\n - Experience with tool integration, API design, and error handling patterns\n\n - Strong Python and/or TypeScript development skills\n\nCustomer-Facing:\n\n - Customer-facing experience with enterprise customers\n\n - Experience conducting technical assessments or infrastructure audits\n\n - Strong communication skills with abil","salary_min":170000,"salary_max":215000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["rag","llm","agents","api-design"],"apply_url":"https://jobs.ashbyhq.com/langchain/e12d7176-8b9f-438a-8f3b-0cbbffab9c5c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:34:31.9Z","expires_at":"2026-09-29T13:32:14.065083Z","created_at":"2026-08-25T18:26:42.712816Z","updated_at":"2026-08-30T13:32:14.225354Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9db2d343-2be2-476f-8816-846f2bbf743b"},{"id":"0223cfe4-98fd-4376-8efe-3be62e75ecb8","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Engineer, Back-End (Security Controls)","slug":"senior-engineer-back-end-security-controls-b79d69e4","description":"Get to Know Us\n\nHorizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. \n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\n \n\n\nROLE OVERVIEW:\n\nThe Senior Backend Engineer will join our world-class software engineering team as a key contributor to both user-facing product launches and platform enhancements and stability. You will own our security controls integration platform, abstracting the complexity of the EDR ecosystem from the rest of our system. Core responsibilities include developing per-vendor normalizers, building live API pipelines, defining internal schemas, and managing versioning, deprecations, fault tolerance, and integration health monitoring. You'll also collaborate with the broader backend engineering team on cross-cutting scale and reliability work.\n\n\n\n\nWHAT YOU’LL DO\n\nResponsibilities\n\n - Design and build dedicated normalizers per EDR vendor, with the testing rigor to keep them trustworthy as vendor APIs evolve\n\n - Develop core product features in ETL (Extract, Transform, Load) and GraphQL to support data processing and retrieval.\n\n - Design and implement backend APIs in GraphQL to facilitate data interactions between different components of the product.\n\n - Build and maintain ETL pipelines for efficient data processing and analytics.\n\n - Collaborate with frontend team members to present data in a clear and user-friendly format, enhancing the product's user experience.\n   \n\n\nWHAT YOU’LL BRING\n\n - Deep experience building and maintaining third-party API integrations at scale\n\n - Hands-on familiarity with EDR platforms and an understanding of how SOC teams consume EDR data\n\n - Driven, self-managed, capable of conceiving and implementing solutions on your own and with a team\n\n - A strong desire to continuously improve and learn new technologies in a fast-paced Agile development environment\n\n - Excellent analytical and problem-solving skills, effective communication, attention to detail and high-quality work\n\n - Strong technical documentation ability to support the development process.\n\n - Effective communication and collaboration with designers, developers, and product managers.\n\n - Ability and interest in mentoring junior and mid-level engineers to foster their growth and development.\n   \n\n\nREQUIRED EDUCATION / EXPERIENCE\n\n - Bachelor's Degree in Computer Science, Computer Engineering or related field.\n\n - 7+ yrs professional software engineering experience using modern object-oriented or functional languages (Python, Java, Go, Scala, C++, TypeScript, etc).\n\n - Experience building applications on cloud computing platforms such as AWS, Azure, GCP, using container technologies such as Docker and Kubernetes.\n\n - Expert proficiency in SQL.\n   \n\n\nPREFERRED EDUCATION/EXPERIENCE\n\n - Experience with various database architectures including relational (PostgreSQL) and graph (Neo4j).\n\n - Experience building GraphQL backends.\n\n - Experience managing and maintaining production infrastructure.\n\n - Experience building platform capabilities for internal teams.\n\n \n\nPerks of Horizon3\n\n - Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.\n\n - Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.\n\n - Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.\n\n - Hybrid \u0026 Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.\n\n - Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision \u0026 dental insurance for you and your family, a flexible vacation policy, and generous parental leave.\n\n\n\nCompensation and Values\n\nAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core va","salary_min":199750,"salary_max":270250,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","security","data-pipeline","backend"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/7305c82f-fddd-4e11-a539-34a401cc9cc5/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T17:11:14.423Z","expires_at":"2026-09-29T13:36:42.868673Z","created_at":"2026-08-29T13:37:07.081074Z","updated_at":"2026-08-30T13:36:43.001684Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0223cfe4-98fd-4376-8efe-3be62e75ecb8"},{"id":"f14f7e06-beb3-4c13-ab57-c9011d97da6e","company_id":"47c8818e-9a45-4180-8d96-931d2774d36b","title":"Senior Software Engineer - Machine Learning Platform","slug":"senior-software-engineer-machine-learning-platform-34e43d2b","description":"About Upstart \n At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.\n As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.\n We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you.\n If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.\n The Team:  \n The Machine Learning and Simulations Platform (MLSP) team builds and operates the core infrastructure that powers ML model training,feature engineering,  inference, and marketplace simulation at Upstart. Every underwriting, fraud, conversion, and verification model runs on this platform. We own the full production path: the data and features that feed a model, the infrastructure that serves it at decision time, the tooling that deploys it, and the simulation systems that predict business impact before a change goes live.\n We are reimagining that platform to keep pace with our ML teams. That work spans low latency and GPU model serving, self-service model deployment, a feature platform that gives ML one place to define and serve production features, and high fidelity marketplace simulation. The team partners closely with ML, Engineering, Product, Data Platform.\n As a Senior Software Engineer on the ML and Simulations Platform team at Upstart, you will be responsible for building an MLOps platform to support machine learning model inference, process automation, model deployment, and observability. Machine Learning is critical to Upstart’s core business, and our greatest competitive advantage lies in the fact that we’re able to innovate on our AI engine quickly. You will also help build a  marketplace simulation platform to support rapid innovation across ML and Finance teams.\n How you’ll make an impact\n \n Build, maintain, and optimize  Upstart’s next-generation machine learning and simulation platform, enabling increased scale, performance, and confidence in decisioning.\n Develop  high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business\n Build self-service tooling so ML teams can register features and deploy models independently, and reduce the manual work the platform team absorbs today.\n Deliver the data and feature infrastructure behind every model, including feature definition, storage, serving, and offline to online parity.\n Design and contribute to  our simulation systems to more accurately reflect production environments, reducing simulation cost and enabling broader usage across teams.\n Communicate closely with cross-functional partners from  ML, Engineering, Product, and Data Engineering  teams, keeping all stakeholders informed\n Mentor engineers across the team, sharing expertise on distributed systems,MLOps,  and scalable architecture.\n \n Minimum Qualifications  \n \n 6+ years of software engineering experience.\n Experience building and maintaining backend software services and APIs.\n Experience with distributed systems or large scale data processing, using Spark, Databricks, Ray, or an equivalent.\n Experience with an ML platform or the ML production path, such as training pipelines, model serving, feature pipelines, or a training data platform.\n Proficiency with some or many of the following: Python, Kotlin, Databricks, and AWS.\n Exhibits a growth mindset. You pick up new technologies that fit the task, and you learn from others.\n Ability to quickly comprehend complex requirements from ML, product, or engineering leadership, and translate them for both technical and non-technical partners.\n \n Preferred Qualifications \n \n Skill with Metaflow, MLflow, gRPC, Spark/PySpark, dbt, Ray, GPU\n Knowledge of simulation, experimentation, or ","salary_min":166900,"salary_max":230000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["api-design","mlops","distributed-systems","platform","machine-learning"],"apply_url":"https://careers.upstart.com/jobs?gh_jid=8161883","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T16:22:50Z","expires_at":"2026-09-29T13:45:21.136887Z","created_at":"2026-08-29T13:46:50.095597Z","updated_at":"2026-08-30T13:45:21.267566Z","company_name":"Upstart","company_slug":"upstart","company_logo_url":"https://www.google.com/s2/favicons?domain=upstart.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f14f7e06-beb3-4c13-ab57-c9011d97da6e"},{"id":"0c041284-ced0-4d3e-bc76-8e40c29f632e","company_id":"d8e15a46-b80d-4228-8e7b-34f00357f377","title":"UX \u0026 Front End Engineer, AI ","slug":"ux-front-end-engineer-ai-192b5fbc","description":"Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.\n What is The Role \n \n The Elastic IT team is shifting beyond standard chat interfaces to craft the next frontier of generative and agentic AI experiences. We are looking for an innovative UX Engineer to join our team to bridge the gap between powerful AI capabilities and intuitive, delightful user interfaces that accelerate productivity across the entire organization. \n \n Our ideal candidate is a skilled front-end engineer with hands-on experience designing and building AI user experiences (e.g., streaming text, dynamic prompt workflows, agent reasoning visualizations, and multi-modal interaction patterns). In this role, you will leverage the latest AI technologies and the Elastic Stack (including ESRE, Agent Builder, Workflows and eUI) to build high-performance front-end applications for a suite of internal products and platforms. Driven by a user-centered mindset, you will act as a key collaborator between AI back-end engineers, product managers, and user groups to turn complex AI reasoning into seamless human-AI interactions. By shaping how enterprise users interact with generative AI, you will enable our global workforce while showcasing the boundary-pushing capabilities of Elastic's products. \n \n Are you ready to design and build the interfaces that supercharge enterprise productivity and prove what’s possible with Elastic? Join us to create AI user experiences that turn collective knowledge into instant action, empowering everyone at Elastic to achieve more. \n What You Will Be Doing \n \n \n AI UI/UX Design \u0026 Implementation: Translate complex generative and agentic AI processes into intuitive, responsive, and engaging front-end interfaces. \n \n Front-End Architecture: Design, build, and maintain front-end UI component libraries. These libraries should be scalable, accessible, and reusable and will be created for generative AI interactions. You will use modern frameworks like React and TypeScript. \n \n Human-AI Interaction Patterns: Prototype and implement novel interaction patterns for conversational AI, agent execution visibility (thought logs, tool calls), prompt systems, and rich dynamic outputs. \n \n Performance \u0026 Streaming Optimization: Optimize UI performance for real-time AI responses, managing token streaming latency, async state management, and optimistic UI updates. \n \n Enterprise Grounding \u0026 Integration: Connect front-end interfaces to internal services. This includes Retrieval Augmented Generation (RAG) endpoints. It also includes Elasticsearch Relevance Engine (ESRE) and agent orchestration APIs. \n \n User-Centered Collaboration: Partner closely with UX designers, product managers, and AI backend engineers to iteratively test and refine AI workflows based on real user feedback. \n \n Accessibility \u0026 Design Systems: Ensure all front-end interfaces strictly adhere to web accessibility standards (WCAG) and align seamlessly with Elastic's core design system (EUI). \n \n AI Observability \u0026 UX Analytics: Implement front-end tracking to monitor user satisfaction, prompt effectiveness , interaction latency, and interface usability. \n \n Documentation: Maintain comprehensive documentation for UI component systems, front-end architecture, and design pattern guidelines. \n \n What You Bring \n \n \n Proven Success in AI UX: Recent experience creating user interfaces for GenAI applications is important. This includes working with conversational interfaces, dynamic prompt builders, and complex agent workflows. \n \n Front-End Mastery: Deep expertise in modern TypeScript , JavaScript , React , HTML5, and CSS/Sass, with an emphasis on modular architecture. \n \n State Management \u0026 Streaming: Deep experience managing complex asynchronous UI state, WebSockets, and Server-Sent Events (SSE) for streaming LLM responses. \n \n UX/UI Design Foundations: Proficient background or active practice in user experience design, wireframing, design systems, and rapid prototyping. \n \n An Appetite to Master Elastic: A solid desire to learn and leverage the Elasticsearch Relevance Engine (ESRE) , Elastic UI (EUI), and the broader Elastic ecosystem. \n \n AI Framework \u0026 API Integration: Experience with integrating front-end systems with AI/LLM backend services and orchestration tools (e.g., LangGraph, REST/GraphQL APIs). \n \n Design System Integration: Experience extending and contributing to enterprise design systems ","salary_min":133200,"salary_max":210700,"location":"United States","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["rag","api-design","llm","agents","search","generative-ai"],"apply_url":"https://jobs.elastic.co/jobs?gh_jid=8154995\u0026gh_jid=8154995","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T21:40:36Z","expires_at":"2026-09-29T13:39:18.19693Z","created_at":"2026-08-27T13:39:42.154555Z","updated_at":"2026-08-30T13:39:18.372298Z","company_name":"Elastic","company_slug":"elastic","company_logo_url":"https://www.google.com/s2/favicons?domain=www.elastic.co\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0c041284-ced0-4d3e-bc76-8e40c29f632e"},{"id":"8d909b3d-3eac-45d3-8804-379bc82bc41b","company_id":"fa25a1f6-acd0-42b6-a229-f4d258ed5c3d","title":"Senior Software Engineer","slug":"senior-software-engineer-91b56607","description":"Employee Applicant Privacy Notice \n Who we are: \n \n Shape a brighter financial future with us.\n Together with our members, we’re changing the way people think about and interact with personal finance.\n We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. \n Social Finance, LLC seeks Senior Software Engineer in San Francisco, CA: \n Job Duties: Lead the development and testing of system components/services, code and design reviews. Participate in shaping the technical architecture of the product. Help translate product requirements into user stories and technical solutions. Delivery highly available and scalable services in a production environment. Mentor other engineers, support the technical culture, and help grow the team. Generate ideas for new initiatives and technologies. Communicate with project leads, production managers and other software developers. Part-time telecommuting is an option. Hybrid work from Social Finance offices in San Francisco, CA. \n Requirements: Seven (7) years of experience in the job offered or in a related occupation.\n Special Skill Requirements:  \n \n 48 months of experience in: programming experience utilizing a modern technology stack using ReAct, graphQL, springboot, Airflow, Zookeeper, Terraform, Kafka and Flink. \n 48 months of experience in: Java, Kotlin, Python and JavaScript in-memory data structures, SQL and NoSQL database design. \n Service-Oriented Architecture (SOA) or microservice based application environment using Docker, Kubernetes and AWS Fargate. \n  AI terminologies, including Large Language Models (LLM) usage in agent development using AWS Bedrocks and Spring AI. \n  modern CI-CD and collaborative coding environments, including using Git for version control, code reviews, and terraform, AWS CDK for continuous development \n sophisticated testing systems for distributed systems at scale using JUnit. \n Operational excellence practices and using monitoring tools, including DataDog or AWS Cloudwatch. \n driving digital transformation initiatives through large-scale service migrations and tech stack modernization using feature gating mechanisms like Optimizely. \n \n Any suitable combination of education, training and/or experience is acceptable. Part-time telecommuting is an option. Hybrid work from Social Finance offices in San Francisco, CA. \n Salary: $221,187.00 - $243,305.00 per year.   \n Submit resume with references using the apply button on this posting or by email to: Req.# 1014.513.7  at: ATTN: HR, jobadverts@sofi.org .\n  \n  \n #LI-DNI\n Compensation and Benefits \n The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. \n  \n To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page!\n SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. \n The Company hires the best qualified candidate for the job, without regard to protected characteristics. \n Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. \n New York applicants: Notice of Employee Rights \n SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. \n Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. \n Internal Employees \n If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.","salary_min":221187,"salary_max":243305,"location":"Add ALL locations here","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["microservices","distributed-systems","llm","api-design","cloud","infrastructure"],"apply_url":"https://sofi.com/careers/job/7978419003?gh_jid=7978419003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-26T17:01:48Z","expires_at":"2026-09-29T13:48:49.042774Z","created_at":"2026-08-27T13:49:22.930166Z","updated_at":"2026-08-30T13:48:49.170491Z","company_name":"SoFi","company_slug":"sofi","company_logo_url":"https://www.google.com/s2/favicons?domain=sofi.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8d909b3d-3eac-45d3-8804-379bc82bc41b"},{"id":"a583cfdf-e13d-431b-bedd-172ede971ced","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Software Engineer II - Dev Accelerator","slug":"software-engineer-ii-dev-accelerator-95beb30d","description":"About the Team\n Abnormal AI is looking for a Software Engineer II to join the Dev Accelerator Team. The Dev Accelerator team builds and operates our internal developer platform : the tools, libraries, and infrastructure that let 100+ engineers design, build, test, and ship products quickly and safely.\n Some of the pieces we’ve been working on recently\n \n Autonomous PR generators for rolling out migrations and linter rule enforcement\n Testing frameworks for enabling clear end to end test support with data generation and coverage tooling\n Optimizing CI execution speeds\n Developer CLI tooling: a “Prompt-to-Product” style CLI that scaffolds services end to end, environment and credentials tooling, and a broad set of internal developer scripts\n Large scale code migrations to improve the shape of the codebase for AI efficacy\n \n Our goal is to make the easy path the right path for product teams and AI agents building on the platform.\n What You’ll Do\n As a Software Engineer II, Dev Accelerator , you will:\n \n Develop and evolve the internal developer platforms that supports development across Abnormal\n Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure .\n Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to make our Golden Path fast, reliable, and intuitive.\n Shape abstractions and workflows that are AI-native , consumable by both humans and AI agents.\n \n This is an individual-contributor role with ownership of multi-quarter initiatives. Success requires close collaboration with product engineering, Infrastructure, SRE, Security, and other partner teams.\n Must Haves\n \n 3+ years of experience as a software engineer or in a similar role\n Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.\n Experience or strong interest in using LLMs to improve developer workflows (e.g., failure summarization, smart code generation, AI-native CLIs).\n \n Nice to Have\n \n Familiarity with our stack: Python, Golang, Bazel, AWS, Kubernetes, Github Actions \n Built or maintained CLI tools, scaffolding systems, or internal frameworks used by other engineers.\n Experience with test data management, integration/E2E test infrastructure, or bad-test detection.\n Hands on experience in\n \n CLI development \n YAML/Jinja2-style templating.\n Modern type hints and typing discipline (e.g., typing, dataclasses / attrs, Pydantic-style patterns).\n Testing with standard frameworks like pytest/Ginkgo or similar.\n Shared library and service development (gRPC/HTTP).\n Authoring reusable workflows\n \n #LI-NT1\n Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.\n Base salary range:\n $149,200 — $214,500 USD \n A note on AI in our process:  Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.\n Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please  click here .","salary_min":149200,"salary_max":214500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["agents","api-design","llm","code-generation"],"apply_url":"https://abnormal.ai/careers/jobs/7967606003?gh_jid=7967606003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-25T18:54:00Z","expires_at":"2026-09-29T13:34:22.757389Z","created_at":"2026-08-25T19:20:23.101498Z","updated_at":"2026-08-30T13:34:22.893803Z","company_name":"Abnormal Security","company_slug":"abnormal-security","company_logo_url":"https://www.google.com/s2/favicons?domain=abnormalsecurity.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a583cfdf-e13d-431b-bedd-172ede971ced"},{"id":"7cfc8bd1-ee86-44f8-a76b-20b093825232","company_id":"053355fc-0162-4bb9-b414-cbf7679ee9c8","title":"IT Platform and Automation Engineer","slug":"it-platform-and-automation-engineer-56eeaeee","description":"About Snorkel \n At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.\n We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!\n Job Description\n We're seeking a  IT Platform \u0026 Automation Engineer who treats internal infrastructure like a product—not a firefighting exercise. This is not a traditional helpdesk or \"break-fix\" role. You'll be the architect behind our internal employee experience, acting as the connective tissue between our office network, collaboration services, security stack, and core business systems (People Tech, CRM, and Engineering tools).\n If you prefer writing Python scripts over manually resetting passwords, and if you get excited about connecting Claude AI to Greenhouse via custom Slack workflows, we want to talk to you. \n This role is NOT: \n \n A traditional helpdesk position. You won't be resetting passwords or shipping laptops.\n A pure networking role. You'll touch networks, but automation is the priority.\n A machine learning engineer role. You'll experiment with AI, but you won't build vector databases or train models.\n \n   What You will Do\n Identity, Endpoint \u0026 Network (The Foundation) \n \n Identity \u0026 Access Management: Own our IdP (Okta/Auth0). Implement and automate SSO, MFA enforcement, and SCIM provisioning across all SaaS tools. Enforce zero-trust principles everywhere.\n Endpoint Lifecycle: Own the full hardware and MDM lifecycle. Automate device provisioning, configuration, and secure deployment using Jamf and Intune. Build zero-touch onboarding workflows. (Note: You will own the automation and security profiles; physical device shipping/fulfillment is handled by our IT Ops coordinators.) \n Network Engineering: Design, deploy, and maintain high-availability office networking (cloud-managed switching/routing, Wi-Fi) and secure remote access solutions (ZTNA/VPN) for a hybrid workforce. We prioritize automation-first engineers.\n \n Custom Integrations \u0026 Automation (The Builder Work) \n \n API Integrations: Architect and build custom integrations between our core SaaS stack—syncing data between Okta, Greenhouse, Notion, and our CRM to eliminate manual data entry.\n Workflow Orchestration: Own our internal automation layer. We currently use a mix of lightweight no-code tools (Zapier, App Script, AppSheet) and custom Python. We're actively phasing out low-code for mission-critical paths—you'll have permission to replace them with proper code. To be clear: this is a coding-heavy role. You'll spend the majority of your time writing code, not clicking in UIs. The no-code tools are placeholders—we expect you to replace or maintain them.\n Internal Tooling: Build and maintain internal dashboards and Slack apps that give employees self-service access to IT, HR, and facilities requests.\n \n AI \u0026 LLM Experimentation (The Innovation Work) \n \n AI Integrations: Review and assess connectors (MCP) if available. Otherwise, build lightweight API wrappers and prompt engineering pipelines to connect LLMs (Claude, OpenAI) to internal tools like Slack and Notion.\n R\u0026D Time: Dedicated time each sprint to experiment with new AI models and identify productivity gains for the company.\n \n Security Automation \u0026 Compliance (The Glue) \n \n Security Scripting: Write robust scripts (Python, Bash, PowerShell) to automate security monitoring, endpoint patch management, and compliance reporting.\n Alert Correlation: Architect centralized alerting pipelines by integrating EDR/SIEM webhooks into Slack via native integrations (CrowdStrike), filtering noise and surfacing only actionable security anomalies.\n Compliance Automation: Create automated audit trails, access reviews, and reporting to support SOC2 / ISO compliance efforts—no more manual spreadsheet work.\n \n Tech Stack Summary: Python, Okta/Azure AD, Jamf/Intune, Slack API, Greenhouse API, Notion API, Claude/OpenAI APIs, CrowdStrike, Meraki/cloud-networking, Google Workspace + GAM, Jira.\n  \n Who You Are\n  \n Foundation (Must-Have Baseline) \n \n Experience: 4+ years in IT Engineering, Systems Engineering, or Platform roles with a heavy emphasis on automation and APIs.\n Coding Proficiency: Advanced Python or JavaScript/Node.js. You treat your scripts like software—git, CI/CD, testing, and documentation are non-negotiable. Our current automation stack is built on Pyth","salary_min":120000,"salary_max":185000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["llm","api-design","generative-ai","cloud","embeddings"],"apply_url":"https://job-boards.greenhouse.io/snorkelai/jobs/6150440004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T18:28:13Z","expires_at":"2026-09-29T13:34:00.678852Z","created_at":"2026-08-25T18:27:04.327152Z","updated_at":"2026-08-30T13:34:00.815181Z","company_name":"Snorkel AI","company_slug":"snorkel-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=snorkel.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7cfc8bd1-ee86-44f8-a76b-20b093825232"},{"id":"4461991d-5d96-4686-98f5-ee1b498e1462","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Backend Engineer, AI Engineering: Duo Chat","slug":"backend-engineer-ai-engineering-duo-chat-e1281718","description":"GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.\n The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.\n * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. \n An overview of this role \n As a Backend Engineer on the Chat Engine team, you'll build the engine behind GitLab Duo Chat, the conversational AI experience for GitLab. You'll work primarily in Python to build and maintain our agentic runtime: the Flow Registry, LangGraph flows, and the Duo Workflow Service. You'll also work in the GitLab Rails monolith, where Chat connects with the product.\n You'll own scoped parts of the system, ship small features and improvements with minimal guidance, and collaborate with the team on larger projects. You'll work alongside senior and staff engineers who will partner with you on design and support your growth.\n What you’ll do \n \n Develop secure, well-tested, and performant features and improvements for GitLab Duo Chat.\n Implement and extend agentic flows in Python using LangGraph, registered through the Flow Registry and served by the Duo Workflow Service.\n Integrate Chat capabilities with the GitLab Rails monolith, including its GraphQL application programming interface (API).\n Write maintainable code that meets our internal standards for a high-scale environment, including tests with every merge request.\n Review code within our Code Review Guidelines and respond promptly to contributions from people who don't work for GitLab.\n Identify technical debt and propose and implement solutions that improve the team's efficiency.\n Collaborate with Product Management, User Experience, and Frontend team members to improve product quality, security, and performance.\n Participate in Tier 2 or Tier 3 weekday, weekend, and occasional night on-call rotations to help troubleshoot product operations, security operations, and urgent engineering issues.\n \n What you’ll bring \n \n Professional experience with Python, including building and testing production services.\n Working proficiency with Ruby on Rails, or a willingness to learn it, since a meaningful part of Chat lives in the GitLab monolith.\n Exposure to, or strong interest in, building on top of large language models, including prompting, tool or function calling, evaluation, and the failure modes of non-deterministic systems.\n Experience designing and building APIs, including diagnosing and optimizing performance issues, and comfort working with well-documented third-party services.\n A security-minded development approach that applies secure coding guidelines early in the development process.\n Clear and concise written communication about technical problems and iterative solutions, which is essential in a remote, largely asynchronous environment.\n Manage work independently, organize priorities, and ask for help when an issue is taking longer than expected.\n Demonstrate GitLab's values by collaborating effectively in a fully remote, intensely iterative environment.\n Experience with LangGraph, LangChain, or a comparable agent orchestration framework.\n Experience with GraphQL and RSpec.\n Experience with the GitLab product as a user or contributor.\n Experience working on a remote, globally distributed team.\n \n About the team \n We're part of GitLab's AI Engineering organization and own the AI-powered chat experience embedded across the GitLab platform. Chat Engine is the backend-focused team within the Duo Chat group. We're backend, frontend, and AI specialists working asynchronously across time zones, using issues, merge requests, and documentation as our main collaboration tools. We focus on expanding generative and agentic AI capabilities, improving the performance and reliability of chat workflows, and strengthening the debugging and testing foundations that help us run AI features safely at sc","salary_min":115200,"salary_max":194400,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["agents","api-design","llm","backend"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8698314002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T21:35:39Z","expires_at":"2026-09-29T13:39:06.024406Z","created_at":"2026-08-25T18:28:58.952361Z","updated_at":"2026-08-30T13:39:06.158891Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4461991d-5d96-4686-98f5-ee1b498e1462"},{"id":"9d9a7ed5-4897-4598-9371-07ffd7d0e8d5","company_id":"053355fc-0162-4bb9-b414-cbf7679ee9c8","title":"Software Engineer — Platform","slug":"software-engineer-platform-42ca592b","description":"About Snorkel \n At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.\n We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!\n About the Team \n Snorkel's Platform organization owns the infrastructure and services that power everything at Snorkel — the pipelines, evals, access layers, event systems, governance, compute, and agent infrastructure that every product team and customer deployment depends on. We're a small team with a large surface area, and we're in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven agent first platform. The decisions being made now will define how our platform scales for years. You will be making them.\n About the Role \n We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers.\n We are looking to grow our team of Platform Engineers, and are hiring at multiple levels.\n What You'll Do \n \n Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams\n Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably and failures are visible and recoverable\n Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing), including PII handling, retention policy enforcement, and audit infrastructure for enterprise and regulatory compliance\n Set strategy and architecture for build systems, testing frameworks, and CI/CD pipelines, and drive the transition toward robust, automated continuous deployment\n Instrument services with OpenTelemetry, define and monitor SLOs (query latency, pipeline success rates, service reliability), and build alerting that catches issues before they become incidents — you will be on-call for the systems you build\n Contribute to infrastructure cost visibility and optimization — query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern\n Collaborate with engineers, product managers, and designers to bring consistency and high standards to codebases, infrastructure, and processes\n \n What You'll Bring \n \n 5+ years building platform infrastructure, backend services, or data systems in production — you have built and operated pipelines, data access layers, distributed services, or ETL/ELT systems at scale\n Strong proficiency in Python, and experience designing REST APIs for internal services and developers\n Strong background in distributed systems and cloud platforms (AWS preferred) — hands-on experience with services like S3, RDS, EKS, EventBridge, and IAM, and comfort working in a Terraform-managed environment\n Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt)\n Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage\n Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact\n Ability to work in a fast-paced environment with strong technical communication skills\n Fluency with modern developer tooling and a willingness to adopt new tools quickly — the team evaluates and integrates new tooling regularly to improve velocity and reliability\n \n Nice to Have \n \n Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support\n Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics\n Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure\n Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design\n Exp","salary_min":220000,"salary_max":300000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","distributed-systems","generative-ai","api-design","cloud"],"apply_url":"https://job-boards.greenhouse.io/snorkelai/jobs/6148958004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T20:41:08Z","expires_at":"2026-09-29T13:34:01.537722Z","created_at":"2026-08-25T18:27:04.370125Z","updated_at":"2026-08-30T13:34:01.681525Z","company_name":"Snorkel AI","company_slug":"snorkel-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=snorkel.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9d9a7ed5-4897-4598-9371-07ffd7d0e8d5"},{"id":"f870f515-f436-4a0b-b447-09b7e3201f15","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Claude Managed Agents","slug":"staff-software-engineer-claude-managed-agents-8e1781b3","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude. Instead of every developer hand-rolling an agent loop, sandboxed execution, state management, credential handling, and error recovery — and reworking all of it with every model release — Managed Agents pairs an Anthropic-built agent harness with production infrastructure for sessions, environments, tools, memory, and permissions, exposed through a small set of composable APIs designed to stay stable as models and harnesses evolve. It powers agentic products inside Anthropic as well as those built by customers on the Claude Platform.\n Managed Agents is in public beta and growing quickly, and this is still an early team with a lot of surface area left to define. You'll drive 0 → 1 efforts from ideation through GA, own systems end to end from API design through operations, and partner closely with product, research, developer experience, and go-to-market teams to figure out what \"managed\" should mean for the next generation of agents. You should be comfortable going deep on hard distributed systems problems, care about APIs as a product in their own right, and be motivated by turning ambiguous ideas into high-quality, shipped platform capabilities that other engineers build their products on.\n What you'll do\n Scale the platform. Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly — across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds. You'll design and operate the systems underneath that: durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation. Reliability, latency, and cost efficiency are product features here, and you'll own them in production.\n Evolve the harness — and prove it with evals. The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors. Harnesses encode assumptions about what the model can't yet do on its own, and those assumptions go stale as models improve. You'll work alongside research to revisit them with each model generation, build the eval infrastructure that measures harness quality against research baselines and real customer workloads, and hold the bar that lets us say our harness gets the most out of Claude.\n Help builders get the most out of Claude. Our customers — internal and external — are building agents both as products for their users and to transform their own operations. You'll ship the capabilities that raise the ceiling on what those agents can do: outcome-driven execution where developers specify success criteria and a budget and Claude iterates until it gets there, multi-agent orchestration, memory, and the observability and tracing that make long-running agents debuggable. The goal is the highest intelligence per dollar of any agent platform, delivered safely.\n Design APIs that outlast their implementations. Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on. You'll shape those primitives — versioning, ergonomics across API, SDK, and CLI, sensible defaults, escape hatches — with the expectation that the implementations underneath will change many times while the contracts hold.\n You might be a good fit if you:\n \n Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer\n Have built and operated stateful, long-running, or high-throughput systems in production — workflow orchestration, streaming, storage, container or job orchestration — and can reason rigorously about durability, consistency, failure modes, and cost\n Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains\n Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings\n Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good\n Take full ownership of your work — from design through build, deployment, and operations (including on-ca","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["mlops","api-design","llm","distributed-systems","agents","alignment"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5395767008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T15:55:19Z","expires_at":"2026-09-29T13:30:38.262536Z","created_at":"2026-08-25T18:26:20.027221Z","updated_at":"2026-08-30T13:30:38.402692Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f870f515-f436-4a0b-b447-09b7e3201f15"},{"id":"9db2f5a1-c809-4438-96a3-ae0552d15de9","company_id":"63bced38-3605-4e57-99f3-e213b2d40bf3","title":"Staff Software Engineer - Payment Solutions","slug":"staff-software-engineer-payment-solutions-75ae25b6","description":"Opportunity Overview:  \n We are seeking a Staff Software Engineer to join our Payment Solutions team. In this role, designing, developing, and scaling highly available AI healthcare products supporting payment integrity workflows across providers, payers, and delegated entities. You'll direct a fast-paced, autonomous, agile team of software engineers in the design, development, and operational support of a growing enterprise platform. This is an opportunity to drive technical excellence at the intersection of healthcare interoperability and modern distributed systems. \n This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.\n What you’ll do: \n \n Technical Leadership: Provide technical leadership across architecture, system design, and mentor junior engineers for building scalable SaaS products.\n Platform Ownership: Lead the development and enhancement of Cohere’s AI-powered  applications and platforms, ensuring that it is highly configurable, and optimized for performance.\n Data \u0026 Retrieval Architecture: Design data and retrieval architectures that give AI agents the right context, across diverse healthcare sources.\n Hands-On Engineering: Design, review, and own high-quality production code — actively contributing alongside the team, leading releases, production deployments, reducing developer development friction and on-call support.\n NFR, Security \u0026 Compliance:  Drive technical strategy to ensure the team's designs consistently address non-functional requirements — observability, instrumentation, performance, and operational readiness that incorporate security and privacy regulations \n Cross-Functional Collaboration: Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs.\n Agile Development: Contribute to sprint planning, execution, and retrospectives, driving efficiency and velocity within the engineering team and collaborating closely with stakeholders to align with product goals and business priorities.\n \n What you’ll need: \n \n 12+ years in the software development lifecycle, with progression to complex, high-impact cloud-native system design\n Expertise in auth/authz frameworks, secure API design, access control, and automated testing\n Strong system design, observability, and production operations skills\n Fullstack expertise in modern languages, event-driven systems, and CI/CD; IaC a plus\n Experience designing data systems/pipelines for analytical and AI workloads, with strong data modeling fundamentals\n Track record shaping engineering standards, mentoring engineers, and communicating strategy across technical and non-technical audiences\n AI architectures (multi-agent, RAG, evaluation frameworks) a plus\n Healthcare tech, health plan, or Payment Integrity experience a plus; Healthcare interoperability standards and clinical ontologies a plus\n Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience\n \n Pay \u0026 Perks: \n 💻 Fully remote opportunity with about 5% travel\n 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program \n 📈 401K retirement plan with company match; flexible spending and health savings account \n 🏝️ Flex Time Off + company holidays\n 👶 Up to 14 weeks of paid parental leave \n 🐶 Pet insurance  \n The salary range for this position is $185,000 to $225,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. \n Interview Process*: \n \n Connect with Talent Acquisition for a Preliminary Phone Screening\n Meet your Hiring Manager!\n Live System Design \n Project Discussion \n Cross Functional Interview \n \n *Subject to change\n About Cohere Health: \n Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. \n With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecos","salary_min":185000,"salary_max":225000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["api-design","healthcare","distributed-systems","agents","payments"],"apply_url":"https://job-boards.greenhouse.io/coherehealth/jobs/7870427003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-17T13:42:52Z","expires_at":"2026-09-29T13:36:36.190277Z","created_at":"2026-08-25T18:27:59.021056Z","updated_at":"2026-08-30T13:36:36.327919Z","company_name":"Cohere Health","company_slug":"cohere-health","company_logo_url":"https://www.google.com/s2/favicons?domain=coherehealth.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9db2f5a1-c809-4438-96a3-ae0552d15de9"},{"id":"c14bafd3-c9dc-471a-861f-4f1abb2404c8","company_id":"a0000000-0000-0000-0000-000000000001","title":"Finance Systems Engineer, Finance and Strategy","slug":"finance-systems-engineer-finance-and-strategy-ca9c30eb","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the Role \n We are looking for a Finance \u0026 Strategy (FP\u0026A)  Systems Engineer to join our Finance Systems team at Anthropic. In this role, you will be responsible for building and maintaining platforms that support our core Financial Planning, Forecasting and Analytics processes. You will bring deep hands-on expertise in EPM platforms like Anaplan, Pigment and data platforms like BigQuery, who writes integrations, tooling, and production code that connect them to Anthropic’s ERP and data warehouse systems. You'll work closely with Corporate Finance \u0026 strategy stakeholders to translate business requirements into innovative technical solutions, maintain data integrity, and drive continuous improvements to our financial systems infrastructure.\n You'll manage day-to-day Finance system operations, support critical financial processes and monthly Forecasting cycles, and take on more ambitious system projects over time, including using Claude to automate FP\u0026A work, help build scalable solutions that enable efficient financial planning, forecasting, and reporting as we continue to grow.\n Responsibilities \n Systems Administration and Support \n \n \n Serve as a primary system administrator for our financial planning platform (Pigment), maintaining system health and optimal performance\n \n Manage Finance applications, data, user access \u0026 security,  system configurations, version management to ensure appropriate controls and governance.\n \n Provide technical support and troubleshooting for end-users, resolving issues and answering system-related questions\n \n System Development and Enhancement  \n \n \n Design, build, and maintain applications, Financial  models and workflows with in-house tools and EPM platform like Pigment to support financial planning, budgeting, forecasting, and reporting processes\n \n Develop and maintain secure dataflows, integrations using Rest APIs to connect FP\u0026A platforms, data warehouse with enterprise systems (e.g., Workday Financials, Salesforce CRM, etc.)\n \n Develop SQL-based data models, ETL pipelines, and reporting infrastructure to support financial close, forecasting, and business intelligence. \n \n Business Partnership and Process Improvement \n \n \n Partner with Finance \u0026 Strategy (FP\u0026A), Accounting, and other Finance teams to understand business problems and use AI tools to build cutting edge solutions\n \n Support Monthly Forecast, Annual \u0026 Long Range planning, Workforce planning, OPEX Forecasting, Balance Sheet \u0026 Cash flow forecasting processes.\n \n Identify and implement process and Finance platform  improvements. \n \n Participate in testing and validation of system changes, ensuring accuracy and reliability\n \n Assist with training and onboarding of new system users\n \n Data Management and Quality \n \n \n Ensure the accuracy and integrity of financial data across systems\n \n Develop and maintain data validation rules and quality checks\n \n Troubleshoot data discrepancies and work with relevant teams to resolve issues\n \n Support data migration and transformation activities as needed\n \n Minium Qualifications \n \n \n Have 8+ years of experience in FP\u0026A systems -  EPM platforms, Finance data warehouse, with a focus on financial planning, forecasting and analysis.\n \n Have hands-on experience administering and developing solutions in enterprise planning platforms (e.g., Pigment, Anaplan, Adaptive Planning, or similar EPM tools)\n \n Possess strong engineering and technical skills including advanced SQL and data modeling skills, creating and maintaining system integrations and data pipelines.\n \n Have demonstrated ability to translate business requirements into technical specifications and system designs.\n \n Have a strong understanding of FP\u0026A processes, financial reporting, and accounting principles\n \n Preferred Qualifications \n \n \n Techno-functional: you're someone who is a CFA but also a hands on developer.\n \n Experience owning changes inside a shared production codebase alongside a product engineering team\n \n Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable\n \n Experience building robust Finance applications with LLMs \n \n Knowledge of programming or scripting languages (Python, JavaScript, etc.)\n \n Experience with Financial planning \u0026 analysis (CFA), experience with pre-IPO companies, supporting rapid growth and scaling financial systems accordingly.\n \n Understanding of financial data security and compliance requirements\n \n Certification in relevant planning platforms (e.g., Pigment, Anaplan Model Builder)\n \n Project management skills and experience leading system implementation workstreams\n The annual compensation range for t","salary_min":205000,"salary_max":270000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","api-design","llm","data-pipeline"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5390728008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-14T19:29:18Z","expires_at":"2026-09-29T13:30:19.615781Z","created_at":"2026-08-25T18:26:13.387151Z","updated_at":"2026-08-30T13:30:19.760216Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c14bafd3-c9dc-471a-861f-4f1abb2404c8"},{"id":"4b6618e4-5849-4fe3-8f95-c080301a34c3","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Partner Engineer","slug":"partner-engineer-659737ee","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\nCloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.\n\nYou'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.\n\n\nKEY RESPONSIBILITIES\n\nCloud Partner Engineering (GCP, Azure)\n\n - Build reference architectures and integration patterns that support the technical side of co-sell, from marketplace listings to joint solution briefs\n\n - Partner with cloud field and partner teams on solutioning for named accounts.\n\n - Keep our marketplace presence and co-sell technical assets current as LangChain, LangGraph, and LangSmith evolve\n\nSystems Integrator and GSI Enablement\n\n - Build and run LangChain's services partner enablement program from the ground up, including tiered certification tracks, hands-on workshops, delivery playbooks, and implementation guides based on our agent development lifecycle (ADLC) framework\n\n - Run LangChain's partner certification program in the region: deliver certification workshops, review certification projects, and guide partner engineers through the program.\n\n - Work with SI centers of excellence (CoEs) to develop repeatable joint solutions and reference architectures, so an SI's own teams can scope, build, and deploy agentic AI independently instead of pulling in LangChain engineering for every deal\n\n - Act as a technical evangelist in the field: work directly with an SI's client account teams to make the technical case for LangChain on a specific engagement, which is a different motion than the strategic work you do with a CoE\n\n - Build and maintain joint business plans with strategic services partners, translating account and industry priorities into a shared technical roadmap and a concrete set of reference assets\n\n - Help SI teams grow from an individual technical champion into a full center of excellence, then support that expertise as it spreads across their client base\n\n - Contribute technical enablement to our Tier 1 GSI strategy as it matures, including scoping what a global systems integrator needs to stand up its own agentic AI practice\n\nPartner Technical Evangelism and Feedback\n\n - Serve as a technical escalation point for complex partner-led deployments\n\n - Represent LangChain at partner events, summits, and joint webinars\n\n - Gather feedback from partners and the field, and route it back to product and engineering\n\n\nWHAT WE'RE LOOKING FOR\n\n7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Solutions Architect, or Sales Engineer. We also like former founders, and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply.\n\nPartner and Technical Experience:\n\n - Track record of partnering with systems integrators, cloud providers, or technology and ISV partners to solve complex technical problems, from initial solution design through delivery\n\n - Experience building enablement programs, such as certifications, workshops, or delivery playbooks, that let a partner's technical team operate independently instead of depending on you for every deal\n\n - Comfortable operating across engineering, partnerships, and sales at the same time\n\n - Strong presentation and technical communication skills, abl","salary_min":170000,"salary_max":200000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","llm","api-design","cloud","rag"],"apply_url":"https://jobs.ashbyhq.com/langchain/47a3bc2a-2bed-4d61-b1de-b3d7ec211a08/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-14T13:09:32.938Z","expires_at":"2026-09-29T13:32:18.985499Z","created_at":"2026-08-25T18:26:42.914687Z","updated_at":"2026-08-30T13:32:19.128892Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4b6618e4-5849-4fe3-8f95-c080301a34c3"},{"id":"eaacbad1-cf06-4872-92b7-f9c1caa6a5fd","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Frontend Engineer, AI Observability \u0026 Evals Platform ","slug":"senior-frontend-engineer-ai-observability-evals-platform-ffb86ec5","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\n\nABOUT THE ROLE\n\n(In person 5 days/week in San Francisco, CA, New York, Boston )\n\nWe’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.  \n\n\n\n\nWHAT YOU WILL DO\n\n - Develop new user-facing features using React \u0026 Typescript\n\n - Build reusable components and front-end libraries for future use\n\n - Translate designs and wireframes into high-quality code\n\n - Optimize components for maximum performance across a vast array of web-capable devices and browsers\n\n - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability\n   \n   \n\n\nWHAT YOU WILL BRING\n\n - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript\n\n - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn\n\n - Familiarity with REST APIs and experience working closely with fullstack and backend engineers\n\n - Knowledge of modern authorization mechanisms, such as JWTs\n\n - A passion for user experience, design and building clean, engaging, and intuitive interfaces\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company\n\n - An ownership mind-set. You are self-driven and look for opportunities to make an impact.\n\n - Strong computer science fundamentals, ideally with a degree in computer science or related field\n\n\n\nCompensation \n\nAnnual salary range: $175,000-$240,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":175000,"salary_max":240000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","api-design","llm","frontend","evaluation"],"apply_url":"https://jobs.ashbyhq.com/langchain/afb91b9b-46d5-4c9d-aa84-a4f1a3f74263/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-13T18:33:10.038Z","expires_at":"2026-09-29T13:32:13.024597Z","created_at":"2026-04-13T09:37:32.570304Z","updated_at":"2026-08-30T13:32:13.16871Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/eaacbad1-cf06-4872-92b7-f9c1caa6a5fd"},{"id":"258e08a5-3f97-4f5e-bfaf-1bcd3e0ebd55","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Frontend Engineer, AI Observability \u0026 Evals Platform ","slug":"frontend-engineer-ai-observability-evals-platform-c60f6f55","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout The Role: \n\nWe’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging.  \n\n*This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. \u003e1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.\n\n\nWhat You Will Do:\n\n - Develop new user-facing features using React \u0026 Typescript\n\n - Build reusable components and front-end libraries for future use\n\n - Translate designs and wireframes into high-quality code\n\n - Optimize components for maximum performance across a vast array of web-capable devices and browsers\n\n - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability\n\n\n\nWhat You Will Bring:\n\n - 2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript\n\n - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn\n\n - Familiarity with REST APIs and experience working closely with fullstack and backend engineers\n\n - Knowledge of modern authorization mechanisms, such as JWTs\n\n - A passion for user experience, design and building clean, engaging, and intuitive interfaces\n\n - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders\n\n - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company\n\n - An ownership mind-set. You are self-driven and look for opportunities to make an impact.\n\n - Strong computer science fundamentals, ideally with a degree in computer science or related field\n\n\n\nCompensation\n\n - Annual salary range: $160,000-$195,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":160000,"salary_max":195000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["api-design","llm","agents","evaluation","frontend"],"apply_url":"https://jobs.ashbyhq.com/langchain/f7de4819-e7aa-4dfb-9acd-8b81ad8caf2c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-12T01:29:10.739Z","expires_at":"2026-09-29T13:32:13.399496Z","created_at":"2026-08-25T18:26:42.681499Z","updated_at":"2026-08-30T13:32:13.539893Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/258e08a5-3f97-4f5e-bfaf-1bcd3e0ebd55"}],"page":1,"per_page":20,"total":474,"total_is_exact":true,"total_pages":24}