{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":false,"jobs":[{"id":"101f37b3-5ed1-4260-9a90-3f56237af448","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Staff Software Engineer - AI Security (Go/Rust/Python)","slug":"staff-software-development-engineer-76db063f","description":"Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.\n We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.\n \n Role  \n We are looking for a Staff Software Engineer - AI Security to join our team. This is a Hybrid role based in San Jose, CA, reporting to the Director, Software Engineering  in the Engineering department. We are building security products that enable organizations to adopt AI applications and agents safely and at scale. As a Staff Software Engineer, you will take ownership of complex engineering challenges, build secure and scalable systems, and raise the technical bar through hands-on execution and collaboration.\n What you’ll do (Role Expectations) \n \n Define technical direction and architecture for major areas of the product\n Lead high-impact initiatives that span multiple teams and system boundaries\n Turn ambiguous product and security challenges into clear, executable engineering strategies\n Establish standards for secure, reliable, scalable, and maintainable systems\n Identify systemic risks, architectural gaps, and investments needed for long-term growth\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity. You build the path as you walk it, viewing ambiguity not as a hindrance but as raw material to create impactful solutions.\n You act like an owner. Your passion for the mission fuels your bias for action, seamlessly navigating between high-level strategy and hands-on execution.\n You are a problem-solver. You are energized by complex challenges and finding elegant solutions that deliver maximum value.\n You are a high-trust collaborator. You build strong relationships through clear feedback, respect, and a commitment to team success.\n You are driven by innovation. You possess a deep curiosity for how systems work and are energized by solving technical challenges at the cutting edge of AI security.\n \n What We’re Looking for (Minimum Qualifications) \n \n Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving\n 5+ years of software-engineering experience, including technical leadership across complex production systems\n Strong proficiency in Go, Rust, and Python, with deep expertise in systems engineering, security engineering, and backend platforms\n Demonstrated experience architecting and evolving platforms that span multiple teams or product areas\n Proven ability to remain hands-on through coding, prototyping, design review, and complex debugging\n Deep understanding of concurrency, networking, storage, APIs, data systems, and cloud infrastructure on AWS, GCP, or Azure\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Experience building enterprise security, endpoint, cloud, or infrastructure products\n Familiarity with AI/ML systems, analytics platforms, AI applications, or AI security\n Experience helping a startup or high-growth product evolve into a scalable engineering organization\n \n #LI-YC2 #LI-Hybrid\n Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.\n The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.\n Base Pay Range\n $152,000 — $190,000 USD \n At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.\n Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees an","salary_min":152000,"salary_max":190000,"location":"San Jose, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["security","fine-tuning","cloud","rust","python"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5202464007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-17T22:18:48Z","expires_at":"2026-11-13T16:58:15.633012Z","created_at":"2026-08-25T18:29:23.045838Z","updated_at":"2026-10-14T16:58:15.636656Z","company_name":"Zscaler","company_slug":"zscaler","company_logo_url":"https://www.google.com/s2/favicons?domain=zscaler.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/101f37b3-5ed1-4260-9a90-3f56237af448"},{"id":"aa2145a5-37fe-4cd8-8f11-71058834236a","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff Backend Software Engineer - Agent Platform (Go/Python)","slug":"staff-backend-software-engineer-agent-platform-gopython-84470431","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Staff Software Engineer on the Agent Platform team, you will help secure tens of millions of devices across Windows, Linux, and macOS while processing billions of security events every day as part of SentinelOne’s Endpoint Protection product line.\n We are looking for an excellent software engineer with a reliability-first mindset who thrives on solving complex distributed systems challenges in production and turning those learnings into durable platform improvements and long-term engineering ownership.\n You’ll help drive customer-critical incident response across the Agent Platform, rapidly build context across multiple platform services, and partner with engineering teams to continuously improve the platform’s reliability, operability, and scalability as a whole.\n You will build and evolve the high-throughput, highly available services responsible for policy, configuration, and command distribution to millions of agents worldwide, while contributing to the agent platform protocols that enable other SentinelOne teams to deliver new security capabilities safely and at scale.\n This role offers broad technical ownership, the opportunity to work across service boundaries, and the ability to influence the design and reliability of critical platform capabilities used throughout the Agent Platform at SentinelOne. You’ll solve some of the company’s most complex production challenges while helping shape the future of our platform. \n What Will You Do?\n Primary responsibilities include:\n \n Drive rapid response to customer-critical incidents by diagnosing, triaging, and resolving complex production issues that span multiple services across the Agent Platform.\n Lead systematic root-cause analysis and translate incident learnings into durable reliability, scalability, observability, and operability improvements.\n Quickly build a systems-level understanding of unfamiliar services and codebases, collaborating closely with engineering teams to resolve complex cross-service issues.\n Design, develop, test, document, deploy, and operate large-scale, high-volume, low-latency distributed systems processing millions of events per second.\n Understand, maintain, and continuously improve existing services through refactoring, feature development, and architectural enhancements.\n Maintain application stability and data integrity by monitoring key metrics, improving operational visibility, and continuously strengthening the codebase.\n Translate business and functional requirements into robust, scalable, and operable technical solutions.\n Partner closely with engineering teams across SentinelOne to solve cross-functional problems, influence technical direction, and deliver solutions that scale.\n Continuously evaluate and adopt technologies that improve the platform’s scalability, reliability, and operational excellence.\n \n Your Toolkit\n \n Our backend services are primarily developed in with Go and Python also playing important roles.\n We use gRPC, REST, GraphQL, and Kafka for service communication.\n Our data layer includes Redis, PostgreSQL, Cassandra, ClickHouse , and our own columnar time-series database.\n Our services run across multiple AWS and GCP regions on Kubernetes , using Docker, GitHub, and ArgoCD .\n We provide engineers with modern AI-powered tools to improve both eng","salary_min":156000,"salary_max":215000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","cloud","api-design","security","python","backend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7819844003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-02T11:29:12Z","expires_at":"2026-11-13T17:03:30.025194Z","created_at":"2026-10-14T15:25:32.637001Z","updated_at":"2026-10-14T17:03:30.028577Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/aa2145a5-37fe-4cd8-8f11-71058834236a"},{"id":"c21b7e27-b8e3-4454-a7da-f9bbe93fac56","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff Backend Software Engineer - Agent Platform (Python/Go)","slug":"staff-backend-software-engineer-agent-platform-1c3decb1","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Staff Software Engineer on the Agent Platform team, you will help secure tens of millions of devices across Windows, Linux, and macOS while processing billions of security events every day as part of SentinelOne’s Endpoint Protection product line.\n We are looking for an excellent software engineer with a reliability-first mindset who thrives on solving complex distributed systems challenges in production and turning those learnings into durable platform improvements and long-term engineering ownership.\n You’ll help drive customer-critical incident response across the Agent Platform, rapidly build context across multiple platform services, and partner with engineering teams to continuously improve the platform’s reliability, operability, and scalability as a whole.\n You will build and evolve the high-throughput, highly available services responsible for policy, configuration, and command distribution to millions of agents worldwide, while contributing to the agent platform protocols that enable other SentinelOne teams to deliver new security capabilities safely and at scale.\n This role offers broad technical ownership, the opportunity to work across service boundaries, and the ability to influence the design and reliability of critical platform capabilities used throughout the Agent Platform at SentinelOne. You’ll solve some of the company’s most complex production challenges while helping shape the future of our platform. \n What Will You Do?\n Primary responsibilities include:\n \n Drive rapid response to customer-critical incidents by diagnosing, triaging, and resolving complex production issues that span multiple services across the Agent Platform.\n Lead systematic root-cause analysis and translate incident learnings into durable reliability, scalability, observability, and operability improvements.\n Quickly build a systems-level understanding of unfamiliar services and codebases, collaborating closely with engineering teams to resolve complex cross-service issues.\n Design, develop, test, document, deploy, and operate large-scale, high-volume, low-latency distributed systems processing millions of events per second.\n Understand, maintain, and continuously improve existing services through refactoring, feature development, and architectural enhancements.\n Maintain application stability and data integrity by monitoring key metrics, improving operational visibility, and continuously strengthening the codebase.\n Translate business and functional requirements into robust, scalable, and operable technical solutions.\n Partner closely with engineering teams across SentinelOne to solve cross-functional problems, influence technical direction, and deliver solutions that scale.\n Continuously evaluate and adopt technologies that improve the platform’s scalability, reliability, and operational excellence.\n \n Your Toolkit\n \n Our backend services are primarily developed in with Go and Python also playing important roles.\n We use gRPC, REST, GraphQL, and Kafka for service communication.\n Our data layer includes Redis, PostgreSQL, Cassandra, ClickHouse , and our own columnar time-series database.\n Our services run across multiple AWS and GCP regions on Kubernetes , using Docker, GitHub, and ArgoCD .\n We provide engineers with modern AI-powered tools to improve both eng","salary_min":156000,"salary_max":215000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["api-design","distributed-systems","cloud","security","python","backend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7818963003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-02T11:28:57Z","expires_at":"2026-11-13T17:03:30.031385Z","created_at":"2026-08-25T18:33:46.394179Z","updated_at":"2026-10-14T17:03:30.034764Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c21b7e27-b8e3-4454-a7da-f9bbe93fac56"},{"id":"9059a00f-4280-4d27-a916-00f01b31126f","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Python OSS Engineer ","slug":"python-oss-engineer-45a3e10f","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 Team\n\nThe Python Open Source team maintains and evolves the core LangChain Python ecosystem used by millions of developers worldwide. We focus on building reliable, well-designed abstractions for developing AI agents and integrating them with real-world tools and systems. The team works closely with the open-source community, incorporating feedback and contributions while ensuring the core libraries remain stable, scalable, and production-ready. Our work defines the developer experience for building AI applications with Python.\n\n\n\nAbout the role\n\nIn person 5 days/week in San Francisco, CA or Boston, MA (SF preferred)\n\nWe’re looking to add a core maintainer to the LangChain team. This person would be responsible for maintaining and improving the LangChain Python package. \n\n - Improving the core abstractions and runtime of the langchain and langgraph packages\n\n - Improving documentation https://python.langchain.com/docs/integrations/providers/\n\n - Answering user questions and resolving issues\n\n - Use langchain to build example applications\n\nWhat You'll Do\n\n - Improve the core abstractions and runtime of the LangChain and LangGraph packages\n\n - Improve documentation across the LangChain ecosystem\n\n - Answer user questions and resolve issues from the community\n\n - Use LangChain to build example applications that demonstrate how to build production AI systems\n\n\n\nWhat You'll Bring\n\n - 5+ years of software engineering or applied machine learning experience\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 ability to thrive in a fast-moving environment and view unstructured environments as an opportunity to identify impactful work and define the future success of the company\n\n - An ownership-minded approach to work, with the ability to manage your work efficiently and effectively without the need for close supervision\n   \n\nCompensation\n\n - Annual salary range: $150,000- $250,000 \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. \n\nWe are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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":150000,"salary_max":250000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","python"],"apply_url":"https://jobs.ashbyhq.com/langchain/74e5f9f4-e44a-4594-ba26-abdf71bf287d/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-02-10T19:22:00.81Z","expires_at":"2026-11-13T16:55:07.864184Z","created_at":"2026-04-13T09:37:32.406948Z","updated_at":"2026-10-14T16:55:07.866951Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/9059a00f-4280-4d27-a916-00f01b31126f"},{"id":"1818f655-e35c-4b9e-8031-c816c7c89a7a","company_id":"f9d74e0d-605a-46ba-bd1e-1f532198450a","title":"Senior Software Engineer (Python)","slug":"senior-software-engineer-python-5e4ed170","description":"First and most importantly: our mission is to bring transparency and clarity to the world's data.\n Our platform, Voxel51 , is  where AI work happens . Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies.\n We believe that open source is the way to lead the data-centric AI revolution. FiftyOne , our open source version has 5+ million downloads to-date.\n Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture , we are at the thrilling center of real-world AI advancement’s next wave.\n And we’re built on three key tenets:\n \n We are all human beings : we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve. \n We are distributed : we believe in getting autonomy and power into the hands of people actually doing the work\n We believe in the power of community \n \n We are fully remote, hiring for people based in the United States, and who are prepared to travel to and occasional in person retreat.\n About your role \n As a Senior Software Engineer at Voxel51, you’ll collaborate with a team that delivers features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle. You’ll build clean, scalable APIs and solve unique challenges that arise when working with unstructured data (images and video). You’ll have the opportunity to contribute to a thriving open source community while also emphasizing enterprise-grade engineering for our commercial products.\n What you will do \n \n Develop our open source SDK, as well as our enterprise APIs, UIs, and backend systems.\n Help us scale our enterprise solution (deployed into customer’s own cloud and on prem) to support the largest vision AI datasets in existence, supporting individual researchers to Fortune 500 companies; processing petabytes of data.\n Write production code that is maintainable, flexible, performant, and well tested.\n Contribute to the department through tooling, automation, and best practices.\n \n What you should bring \n \n 8+ years of professional full-stack software engineering experience developing maintainable and scalable systems and software architectures.\n BS or MS in computer science or a related field.\n Expertise with Python.\n Expertise with NoSQL databases (MongoDB, DocumentDB, Elasticsearch).\n Experience maintaining or contributing to open source projects (or the passion to start!).\n Ability to work in a remote-first, collaborative environment.\n Experience with Typescript is an asset.\n \n The cash compensation for this person is in the $200K - $225K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.","salary_min":200000,"salary_max":225000,"location":"Remote","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["search","autonomous-vehicles","python"],"apply_url":"https://voxel51.com/jd/?4726882005\u0026gh_jid=4726882005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T14:20:59Z","expires_at":"2026-11-13T17:00:19.760628Z","created_at":"2026-08-25T18:32:23.935355Z","updated_at":"2026-10-14T17:00:19.763609Z","company_name":"Voxel51","company_slug":"voxel51","company_logo_url":"https://www.google.com/s2/favicons?domain=voxel51.com\u0026sz=128","quality_score":80,"url":"https://aidevboard.com/job/1818f655-e35c-4b9e-8031-c816c7c89a7a"},{"id":"7b2a5715-7a0d-496f-aed5-2ea1e9c4a06d","company_id":"3710cf92-3533-4d44-8ae4-7a21c79c5fb6","title":"Senior Backend Engineer (Python) - AI Application","slug":"senior-backend-engineer-python-ai-application-15839684","description":"Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.\n At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.\n As a  Senior Backend Engineer on Gong’s Agentic team, you will build and operate production-grade AI agents that interact directly with Gong’s customers. You will design and implement the backend systems that enable these agents to understand customer requests, reason over context and data, interact with tools and APIs, and take meaningful actions on behalf of customers. This is a new, high-impact team focused on building customer-facing agentic product experiences. \n You’ll work extensively in the agentic AI space, designing and building AI-powered applications that communicate with customers and solve real-world problems. The systems you build will combine LLMs, agents, tools, APIs, business logic, and Gong’s data to deliver useful and reliable customer experiences at scale.\n You’ll Own: \n \n Customer-Facing Agent Development: Designing, building, and operating production-grade AI agents in Python that interact directly with customers and help them accomplish real-world tasks.\n Agent Behavior and Workflows: Building multi-step agentic workflows that understand customer intent, maintain context, reason over information, use tools, call APIs, and take actions on behalf of customers.\n Product Integrations: Connecting agents to Gong’s APIs, data, internal services, and external systems so they can retrieve information and perform meaningful actions as part of the customer experience.\n Production Reliability: Building robust agent applications that handle failures, retries, timeouts, unexpected inputs, and other real-world edge cases while serving live customer traffic.\n Agent Evaluation and Improvement: Measuring and improving agent quality using production data, offline and online evaluations, regression testing, experimentation, and customer feedback.\n End-to-End Backend Ownership: Taking ownership of the backend systems behind agentic product experiences, from design and implementation through deployment, operation, and continuous improvement.\n \n You’ll Solve: \n \n Customer Interaction Complexity: Building agents that can understand customer intent, maintain context across conversations, reason over information, and take the right actions across complex workflows.\n Agentic Application Complexity: Designing applications where agents interact with tools, APIs, data, business logic, and external systems across multi-step workflows.\n AI System Reliability at Scale: Ensuring customer-facing agents remain reliable, observable, debuggable, and safe as usage scales across customers and products.\n Product and Engineering Tradeoffs: Balancing agent flexibility, product requirements, latency, reliability, cost, and safety when building real-world AI applications.\n \n You’ll Impact: \n \n Customer Experience: Building AI agents that directly interact with Gong’s customers and help them accomplish meaningful tasks faster and more effectively.\n AI-Powered Product Experiences: Turning emerging agentic capabilities into reliable, scalable product experiences used by real customers.\n Production AI Adoption: Bringing AI agents from experimentation into robust production applications that operate reliably at scale.\n AI Application Quality: Establishing strong engineering practices for building, evaluating, deploying, and continuously improving AI-powered applications in production.\n \n How You’ll Succeed Here \n \n 7+ years of backend engineering experience (Python) , with strong system design and application development expertise.\n Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues efficiently.\n Hands-on experience designing, building, and operating AI agents or agentic applications in production, including orchestration, tool usage, context and memory management, and multi-step workflows.\n Experience building production applications","location":"Tel Aviv, Israel","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","microservices","llm","agents","backend","python"],"apply_url":"https://job-boards.greenhouse.io/gongio/jobs/4668065006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-01T08:08:31Z","expires_at":"2026-11-13T16:59:28.364697Z","created_at":"2026-10-14T15:23:00.631924Z","updated_at":"2026-10-14T16:59:28.367324Z","company_name":"Gong","company_slug":"gong","company_logo_url":"https://www.google.com/s2/favicons?domain=gong.io\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/7b2a5715-7a0d-496f-aed5-2ea1e9c4a06d"},{"id":"37dd4bcb-fc20-4ab4-9649-c5b86a0860d4","company_id":"9d355471-83aa-4d50-9478-2ac3cc40e215","title":"Staff Software Engineer, Infrastructure - Python \u0026 Kubernetes ","slug":"staff-software-engineer-infrastructure-python-kubernetes-d1a5b5a6","description":"About us\n Re-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace \u0026 defence, automotive, semiconductors, materials, and energy \u0026 renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.\n Staff Software Engineer – SRE and Core Infra London (Hybrid) | Engineering | Full Time\n The Role \n PhysicsX is growing rapidly and so is the infrastructure that underpins our platform. We are building core infrastructure that is reliable, secure, scalable and reproducible across multiple cloud providers and on premises environments. As the platform evolves to serve increasingly complex engineering workloads, the foundational infrastructure layer becomes ever more critical.\n We are looking for a Senior Software Engineer to join our Platform SRE Core Infrastructure team. This role is responsible for the design, provisioning and operation of the shared infrastructure that the entire PhysicsX platform depends on. You will work across infrastructure as code, Kubernetes cluster management, secrets management, GPU drivers, networking and multi tenancy architecture to ensure the platform is dependable, scalable and secure.\n This is a role for an engineer who combines deep infrastructure expertise with a reliability engineering mindset and an appreciation for the developer experience of the teams that consume the platform.\n What You Will Do \n \n Own the design and delivery of core infrastructure across multi cloud providers (AWS, GCP, Azure) and on premises environments using Terraform and Crossplane.\n Architect and operate Kubernetes clusters supporting both single tenant and multi tenant workloads, with a strong emphasis on isolation, performance and reliability.\n Define and implement infrastructure provisioning patterns using Crossplane compositions and Terraform modules, ensuring reproducibility and auditability across environments.\n Design and operate secrets management solutions, including dynamic secret provisioning, rotation and fine grained access control integrated with cluster identity.\n Manage and maintain GPU driver configurations and accelerated compute node pools, ensuring compatibility and performance for AI and simulation workloads.\n Own cluster networking design including CNI selection, Istio service mesh integration, ingress strategy and cross cluster connectivity.\n Implement and maintain vCluster based multi tenancy to provide strong workload isolation within shared infrastructure.\n Develop lightweight Kubernetes Operators or controllers where automation of infrastructure lifecycle tasks requires it.\n Establish SLOs and reliability targets for core infrastructure components and lead the response to production incidents.\n Partner with security and platform teams to enforce infrastructure governance, network policies and compliance controls.\n Contribute to and uphold engineering standards across the platform organisation.\n \n What You Bring to the Table \n \n Kubernetes depth – 5 or more years of professional experience operating Kubernetes in production. You have a thorough understanding of cluster architecture, the scheduler, networking, storage and the API lifecycle. Kubernetes certifications such as CKAD, CKA or CKS are highly desirable.\n Crossplane expertise – significant hands on experience designing and operating Crossplane compositions, providers and managed resources in production environments.\n Terraform proficiency – strong experience authoring, structuring and operating Terraform at scale, including state management, module design and CI integration.\n Multi cloud and on premises – practical experience operating infrastructure across more than one cloud provider and on premises environments, with an understanding of the differences in identity, networking and storage.\n Multi tenancy architecture – experience designing and implementing both single tenant and multi tenant Kubernetes architectures, with strong views on isolation, resource governance and operational overhead.\n Secrets management – experience with tools such as Vault, External Secrets Operator or cloud native secret stores, including dynamic provisioning and rotation.\n Networking – solid knowledge of Kubernetes networking, CNI plugins, Istio service mesh and ingress patterns. Experience with cross cluster or hybrid connectivity is valuable.\n vCluster and virtual clusters – experience using vCluster or similar tooling to provide lightweight, isolated Kubernetes environments within shared cl","location":"London, UK","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","infrastructure","kubernetes","python"],"apply_url":"https://job-boards.eu.greenhouse.io/physicsx/jobs/4981153101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-21T10:54:29Z","expires_at":"2026-11-13T17:00:07.054355Z","created_at":"2026-10-14T15:23:38.525892Z","updated_at":"2026-10-14T17:00:07.057645Z","company_name":"PhysicsX","company_slug":"physicsx","company_logo_url":"https://www.google.com/s2/favicons?domain=physicsx.ai\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/37dd4bcb-fc20-4ab4-9649-c5b86a0860d4"},{"id":"01e52a15-0f7f-479c-aa0f-593fce360782","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff FE/Full-stack Engineer (React/TS, Python) - SOC Automation","slug":"staff-fefull-stack-engineer-reactts-python-soc-automation-84fdd704","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Staff Fullstack Engineer, you will lead the design, build, and testing of SentinelOne's next-generation security orchestration and automation (SOAR) solution , a brand-new product offering built to extend the value of our cybersecurity platform. You will bring deep front-end and back-end expertise to drive this product from technical design through delivery, integrating it with our existing platform and collaborating closely with product, security, and other engineering teams. This is an opportunity to leverage modern technologies and help revolutionize how we defend against threats.\n What Will You Do?\n Primary responsibilities include:\n \n Lead the design, development, and testing of SentinelOne's next generation security orchestration and automation (SOAR) tools, taking features from technical design through delivery with minimal guidance.\n Integrate the SOAR solution with our existing product offering to extend the value of SentinelOne's cybersecurity platform, working through moderately complex technical challenges independently.\n Collaborate closely with cross functional teams, including product, security, and other engineering teams, acting as a technical resource for the SOAR product area.\n Work across the full stack, including React, TypeScript, Python (FastAPI with SQLModel), and NodeJS for the front end and services layer, Codemirror and Reactflow for the product's workflow building experience, and PostgreSQL, Docker, Kubernetes, Redis, AWS, and GCP for the underlying infrastructure.\n \n What skills and knowledge should you bring?\n Ideal candidates will have:\n \n A bachelor's degree and 7 or more years of professional full stack or front end and back end engineering experience, or equivalent experience with a master's degree (4 or more years).\n Extensive coding experience in TypeScript using React, with the depth to independently lead design and implementation of complex front end systems.\n Previous coding experience building backend APIs in Python - advantage.\n Ability to mentor and act as a technical resource for colleagues with less experience.\n Experience with Codemirror or Reactflow is preferred.\n \n Why SentinelOne?\n AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.\n We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:\n Equity \u0026 Rewards \n \n Restricted Stock Units (RSUs)\n Employee Stock Purchase Plan (ESPP)\n Performance-based bonus\n \n Time Off \u0026 Wellbeing \n \n Flexible time off, on top of the standard 5 weeks PTO\n Paid company wellness days and fully paid short-term sick/nursing leave\n Gender-neutral parental leave\n \n Insurance \u0026 Financial Security \n \n Private medical care benefit\n Life and disability insurance\n Pension Insurance contribution\n Global business travel medical insurance\n Employee Assistance Program (EAP)\n \n Work Perks \u0026 Flexibility \n \n Global home office allowance\n Meal allowance\n Hybrid work in Prague (Karlin), Brno (Clubco) or remote in CZ/SK. Only Prague-based employ","location":"Brno, South Moravian, Czech Republic","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","security","fullstack","python","frontend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7981641003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-09T06:52:05Z","expires_at":"2026-11-13T17:03:30.05419Z","created_at":"2026-09-09T13:50:41.034116Z","updated_at":"2026-10-14T17:03:30.0573Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/01e52a15-0f7f-479c-aa0f-593fce360782"},{"id":"efb8e761-6bbe-407e-a8c0-ad7382b0965d","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff FE/Full-stack Engineer (React/TS, Python) - SOC Automation","slug":"staff-fefull-stack-engineer-reactts-python-soc-automation-4bbaa9b3","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Staff Fullstack Engineer, you will lead the design, build, and testing of SentinelOne's next-generation security orchestration and automation (SOAR) solution , a brand-new product offering built to extend the value of our cybersecurity platform. You will bring deep front-end and back-end expertise to drive this product from technical design through delivery, integrating it with our existing platform and collaborating closely with product, security, and other engineering teams. This is an opportunity to leverage modern technologies and help revolutionize how we defend against threats.\n What Will You Do?\n Primary responsibilities include:\n \n Lead the design, development, and testing of SentinelOne's next generation security orchestration and automation (SOAR) tools, taking features from technical design through delivery with minimal guidance.\n Integrate the SOAR solution with our existing product offering to extend the value of SentinelOne's cybersecurity platform, working through moderately complex technical challenges independently.\n Collaborate closely with cross functional teams, including product, security, and other engineering teams, acting as a technical resource for the SOAR product area.\n Work across the full stack, including React, TypeScript, Python (FastAPI with SQLModel), and NodeJS for the front end and services layer, Codemirror and Reactflow for the product's workflow building experience, and PostgreSQL, Docker, Kubernetes, Redis, AWS, and GCP for the underlying infrastructure.\n \n What skills and knowledge should you bring?\n Ideal candidates will have:\n \n 6 or more years of professional full stack or front end engineering experience.\n Extensive coding experience in TypeScript using React, with the depth to independently lead design and implementation of complex front end systems.\n Previous coding experience building backend APIs in Python - advantage.\n Ability to mentor and act as a technical resource for colleagues with less experience.\n Experience with Codemirror or Reactflow is preferred.\n \n Why SentinelOne?\n AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.\n We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:\n Equity \u0026 Rewards \n \n Restricted Stock Units (RSUs)\n Employee Stock Purchase Plan (ESPP)\n Performance-based bonus\n \n Time Off \u0026 Wellbeing \n \n Flexible time off, on top of the standard 5 weeks PTO\n Paid company wellness days and fully paid short-term sick/nursing leave\n Gender-neutral parental leave\n \n Insurance \u0026 Financial Security \n \n Private medical care benefit\n Life and disability insurance\n Pension Insurance contribution\n Global business travel medical insurance\n Employee Assistance Program (EAP)\n \n Work Perks \u0026 Flexibility \n \n Global home office allowance\n Meal allowance\n Hybrid work in Prague (Karlin), Brno (Clubco) or remote in CZ/SK. Only Prague-based employees are required to work from the office at least 2 days/week.\n \n Wellness \u0026 Lifestyle \n \n Wellbeing all","location":"Czech Republic","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["security","cloud","fullstack","python","frontend"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7981640003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-09T06:52:03Z","expires_at":"2026-11-13T17:03:30.049718Z","created_at":"2026-09-09T13:50:41.272634Z","updated_at":"2026-10-14T17:03:30.052788Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/efb8e761-6bbe-407e-a8c0-ad7382b0965d"},{"id":"7f2ef6f6-a740-4d56-83df-27f14eee8fe6","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff FE/Full-stack Engineer (React/TS, Python) - SOC Automation","slug":"staff-fefull-stack-engineer-reactts-python-soc-automation-d29a2174","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Staff Fullstack Engineer, you will lead the design, build, and testing of SentinelOne's next-generation security orchestration and automation (SOAR) solution , a brand-new product offering built to extend the value of our cybersecurity platform. You will bring deep front-end and back-end expertise to drive this product from technical design through delivery, integrating it with our existing platform and collaborating closely with product, security, and other engineering teams. This is an opportunity to leverage modern technologies and help revolutionize how we defend against threats.\n What Will You Do?\n Primary responsibilities include:\n \n Lead the design, development, and testing of SentinelOne's next generation security orchestration and automation (SOAR) tools, taking features from technical design through delivery with minimal guidance.\n Integrate the SOAR solution with our existing product offering to extend the value of SentinelOne's cybersecurity platform, working through moderately complex technical challenges independently.\n Collaborate closely with cross functional teams, including product, security, and other engineering teams, acting as a technical resource for the SOAR product area.\n Work across the full stack, including React, TypeScript, Python (FastAPI with SQLModel), and NodeJS for the front end and services layer, Codemirror and Reactflow for the product's workflow building experience, and PostgreSQL, Docker, Kubernetes, Redis, AWS, and GCP for the underlying infrastructure.\n \n What skills and knowledge should you bring?\n Ideal candidates will have:\n \n 6 or more years of professional full stack or front end engineering experience.\n Extensive coding experience in TypeScript using React, with the depth to independently lead design and implementation of complex front end systems.\n Previous coding experience building backend APIs in Python - advantage.\n Ability to mentor and act as a technical resource for colleagues with less experience.\n Experience with Codemirror or Reactflow is preferred.\n \n Why SentinelOne?\n AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.\n We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:\n Salary starting from 5500 EUR/month. Annual bonus based on company performance, paid in two installments. The final base salary may be adjusted based on the individual skills and experience of the selected candidate.\n Equity \u0026 Rewards \n \n Restricted Stock Units (RSUs)\n Employee Stock Purchase Plan (ESPP)\n Performance-based bonus\n \n Time Off \u0026 Wellbeing \n \n Flexible time off, on top of the standard 5 weeks PTO\n Paid company wellness days and fully paid short-term sick/nursing leave\n Gender-neutral parental leave\n \n Insurance \u0026 Financial Security \n \n Life and disability insurance\n Pension Insurance contribution\n Global business travel medical insurance\n Employee Assistance Program (EAP)\n \n Work Perks \u0026 Flexibility \n \n Global home office allowance\n Meal allowance \n Hybr","location":"Slovakia","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","cloud","security","frontend","fullstack","python"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7981639003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-09T06:52:01Z","expires_at":"2026-11-13T17:03:30.065039Z","created_at":"2026-09-09T13:50:41.196557Z","updated_at":"2026-10-14T17:03:30.06805Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/7f2ef6f6-a740-4d56-83df-27f14eee8fe6"},{"id":"4929569c-edcf-4b99-a00d-d6e635845398","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Staff FE/Full-stack Engineer (React/TS, Python) - SOC Automation","slug":"staff-fefull-stack-engineer-reactts-python-soc-automation-bceff599","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Staff Fullstack Engineer, you will lead the design, build, and testing of SentinelOne's next-generation security orchestration and automation (SOAR) solution , a brand-new product offering built to extend the value of our cybersecurity platform. You will bring deep front-end and back-end expertise to drive this product from technical design through delivery, integrating it with our existing platform and collaborating closely with product, security, and other engineering teams. This is an opportunity to leverage modern technologies and help revolutionize how we defend against threats.\n What Will You Do?\n Primary responsibilities include:\n \n Lead the design, development, and testing of SentinelOne's next generation security orchestration and automation (SOAR) tools, taking features from technical design through delivery with minimal guidance.\n Integrate the SOAR solution with our existing product offering to extend the value of SentinelOne's cybersecurity platform, working through moderately complex technical challenges independently.\n Collaborate closely with cross functional teams, including product, security, and other engineering teams, acting as a technical resource for the SOAR product area.\n Work across the full stack, including React, TypeScript, Python (FastAPI with SQLModel), and NodeJS for the front end and services layer, Codemirror and Reactflow for the product's workflow building experience, and PostgreSQL, Docker, Kubernetes, Redis, AWS, and GCP for the underlying infrastructure.\n \n What skills and knowledge should you bring?\n Ideal candidates will have:\n \n 6 or more years of professional full stack or front end engineering experience\n Extensive coding experience in TypeScript using React, with the depth to independently lead design and implementation of complex front end systems.\n Previous coding experience building backend APIs in Python - advantage.\n Ability to mentor and act as a technical resource for colleagues with less experience.\n Experience with Codemirror or Reactflow is preferred.\n \n Why SentinelOne?\n AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.\n We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:\n Equity \u0026 Rewards \n \n Restricted Stock Units (RSUs)\n Employee Stock Purchase Plan (ESPP)\n Performance-based bonus\n \n Time Off \u0026 Wellbeing \n \n Flexible time off, on top of the standard 5 weeks PTO\n Paid company wellness days and fully paid short-term sick/nursing leave\n Gender-neutral parental leave\n \n Insurance \u0026 Financial Security \n \n Private medical care benefit\n Life and disability insurance\n Pension Insurance contribution\n Global business travel medical insurance\n Employee Assistance Program (EAP)\n \n Work Perks \u0026 Flexibility \n \n Global home office allowance\n Meal allowance\n Hybrid work in Prague (Karlin), Brno (Clubco) or remote in CZ/SK. Only Prague-based employees are required to work from the office at least 2 days/week.\n \n Wellness \u0026 Lifestyle \n \n Wellbeing allo","location":"Prague, Czech Republic","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["security","cloud","frontend","fullstack","python"],"apply_url":"https://www.sentinelone.com/jobs/?gh_jid=7981638003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-09T06:51:59Z","expires_at":"2026-11-13T17:03:30.05847Z","created_at":"2026-09-09T13:50:41.116527Z","updated_at":"2026-10-14T17:03:30.061892Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/4929569c-edcf-4b99-a00d-d6e635845398"},{"id":"c1cd71bb-3297-485c-83f1-f4bd3b6e42d4","company_id":"e12d7a84-7538-4599-9b03-0cce91dc76b4","title":"Backend Engineer (Python),AI Engineering: Agent Foundations","slug":"senior-backend-engineer-python-agent-developer-flow-components-dbe645d8","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 an Intermediate Backend Engineer (Python) in GitLab's Agent Foundations stage, you'll go beyond using AI tools. You'll help build the foundations for GitLab's agentic AI experiences: the platform that lets AI agents work across the whole software delivery lifecycle, not just write code. That covers the reusable building blocks agents and flows are made from as well as our core harness, Duo Developer.\n Most of your work will be backend engineering in Python, using libraries such as LangGraph to build secure, reliable and scalable features in our AI Gateway. You'll also work across the stack where needed. You'll work closely with engineers across the stage and other AI Engineering teams. This is a high-visibility area where GitLab's core platform meets its AI strategy.\n What you'll do \n \n Develop, ship and maintain features for the Duo Agent Platform in the Duo Workflow Service, the AI Gateway and, where needed, the GitLab monolith. Keep them secure, well-tested and performant.\n Build and improve agentic flows and their reusable parts with LangChain and LangGraph, including the Flow Registry.\n Work with Product Management, UX, frontend, backend and AI specialists to refine requirements and ship improvements in small iterations.\n Design, implement and review APIs (including GraphQL and REST) and the backend logic behind them, with reliable, scalable and clear contracts for clients such as the GitLab monolith, IDE extensions and Duo CLI.\n Improve and extend automated testing (pytest and other frameworks), including evaluations of agent and flow behavior, to strengthen quality and give developers faster feedback.\n Share standards, patterns and learnings with other engineers to raise the bar for responsible AI integration and evidence-driven engineering.\n Join Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and improve observability and resiliency.\n Keep an eye on the competitive landscape to help keep GitLab's agent platform best-in-class as more work becomes agentic.\n \n What you'll bring \n \n Experience building and maintaining production Python backend applications, including APIs, asynchronous or background processing, and data models.\n Experience with LLM application frameworks such as LangGraph, or designing and shipping AI-powered backend features or harnesses.\n Skill in designing or extending APIs (REST, GraphQL or gRPC) with attention to scalability, maintainability and backward compatibility.\n Comfort working across the stack in a mature codebase. Familiarity with Ruby on Rails and/or JavaScript and Vue is a plus.\n Experience finding and fixing performance bottlenecks in applications.\n Clear written and verbal communication, including technical proposals and documentation, in a remote, async, cross-functional team.\n Openness to learning and to applying skills from related technologies or fields.\n \n About the team \n The Agent Foundations stage builds the foundations for GitLab's agentic AI experiences. We provide the platform, catalog and execution features that help teams deliver resilient agents and flows to customers. The stage has three groups: Agent Developer, AI Catalog and Agent Execution. Between them, they own the GitLab Duo Developer foundational flow and the Flow Registry; the AI Catalog, including custom agents, custom flows and external agent integrations; and agent execution, agent tools and agent observability.\n Our engineers work async-first across EMEA, AMER, and India timezones. We work with teams across AI engineering and the rest of GitLab so the Duo Agent Platform can pow","location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["llm","api-design","agents","python","backend"],"apply_url":"https://job-boards.greenhouse.io/gitlab/jobs/8704363002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-19T13:38:27Z","expires_at":"2026-11-13T16:57:54.644889Z","created_at":"2026-08-25T18:28:58.994744Z","updated_at":"2026-10-14T16:57:54.650359Z","company_name":"GitLab","company_slug":"gitlab","company_logo_url":"https://www.google.com/s2/favicons?domain=about.gitlab.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/c1cd71bb-3297-485c-83f1-f4bd3b6e42d4"},{"id":"99f8261e-5ceb-44af-96af-7240b564ee1f","company_id":"3710cf92-3533-4d44-8ae4-7a21c79c5fb6","title":"Senior Backend Engineer - AI Framework (Python)","slug":"senior-backend-engineer-ai-framework-python-3d472ba4","description":"Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.\n At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.\n As a Senior Backend Engineer on Gong’s AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power Gong’s agentic ecosystem.\n  \n You’ll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across Gong, making your impact immediate and company-wide.\n You’ll Own: \n \n Agentic Framework Architecture : Designing and building Gong’s internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.\n Evaluation and Quality Systems : Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.\n Observability, Monitoring, and Guardrails : Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.\n Developer Enablement Platforms : Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.\n Cross-Language Integrations : Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within Gong’s broader backend ecosystem.\n Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.\n  \n \n You’ll Solve: \n \n Agent Lifecycle and Orchestration Complexity : Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.\n AI System Reliability at Scale : Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.\n Evaluation and Drift Challenges : Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.\n Platform Adoption Friction : Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.\n \n You’ll Impact: \n \n Company-Wide AI Enablement : Empowering every engineering team at Gong to build agent-based solutions faster, with higher quality and confidence.\n Foundational AI Infrastructure : Establishing the core frameworks, evaluations, and observability standards that all AI agents at Gong will rely on.\n AI Safety and Quality Bar : Raising the bar for how AI systems are evaluated, monitored, and governed across the company.\n \n How You’ll Succeed Here \n \n 7+ years of backend engineering experience, with strong system design and platform-building expertise.\n Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues efficiently.\n Hands-on experience designing and building agentic systems or agent frameworks in production, including orchestration, tool usage, memory management, and multi-step workflows.\n Experience extending or building frameworks on top of tools like LangChain, LangGraph, ADK, or similar agent orchestration frameworks.\n Experience designing, implementing, and operating production-grade AI agents , including handling failure modes, retries, observability, and real user traffic.\n Strong understanding of AI evaluation methodologies, including agent evaluations, prompt evaluation, regression testing, and quality monitoring.\n High proficiency in Python for building production-grade AI frameworks","location":"Tel Aviv, Israel","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","agents","alignment","microservices","backend","python"],"apply_url":"https://job-boards.greenhouse.io/gongio/jobs/4668007006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-29T06:54:29Z","expires_at":"2026-11-13T16:59:28.360219Z","created_at":"2026-06-29T14:12:05.284331Z","updated_at":"2026-10-14T16:59:28.36334Z","company_name":"Gong","company_slug":"gong","company_logo_url":"https://www.google.com/s2/favicons?domain=gong.io\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/99f8261e-5ceb-44af-96af-7240b564ee1f"},{"id":"882add99-b1db-4a43-b7ca-5386ea3ad9d5","company_id":"04c258f6-368b-4c6a-b125-a00bf2e9558a","title":"Senior Open-Source Python Engineer, ML Developer Tools - EMEA Remote","slug":"senior-open-source-python-engineer-ml-developer-tools-emea-remote-6a9190df","description":"\u003cp\u003eAt Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets \u0026amp; 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the Role\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eRoles at Hugging Face are very fluid and dynamic — we are looking for someone who is comfortable taking on different challenges that will evolve over time.\u003c/p\u003e\u003cp\u003eYou'll join the Applications team, whose goal is to build the tooling that helps developers create machine learning applications on top of the primitives we offer on the Hub: \u003ca href=\"https://www.gradio.dev\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eGradio\u003c/a\u003e, \u003ca href=\"https://huggingface.co/spaces\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eSpaces\u003c/a\u003e, Inference Providers, Datasets, Xet, and more. Concretely, that means maintaining and growing libraries like \u003ca href=\"https://github.com/gradio-app/trackio\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eTrackio\u003c/a\u003e, a local-first, agent-friendly experiment tracking platform, \u003ca href=\"https://github.com/gradio-app/fastrtc\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eFastRTC\u003c/a\u003e, our library for real-time audio and video streaming in Python, and Gradio itself, used by more than 1 million developers each month. These tools have made machine learning accessible to a wide audience — for the first time in history, anyone with an internet connection can use cutting-edge models right from their browser.\u003c/p\u003e\u003cp\u003eSeveral of these libraries are still early in their life, and new ones will start from scratch. A large part of this role is taking a project from its first users to widespread adoption: shaping the API, shipping fast, and getting it into developers' hands.\u003c/p\u003e\u003cp\u003eKey responsibilities include:\u003c/p\u003e\u003cul\u003e\u003cli\u003eDesigning, developing, and maintaining core features across the team's libraries, ensuring scalability, reliability, and ease of use for ML developers.\u003c/li\u003e\u003cli\u003eArchitecting complex Python projects and frameworks that serve as foundational tools for the ML community.\u003c/li\u003e\u003cli\u003eGrowing early-stage libraries: defining the API surface, writing the demos and documentation that make them click, and driving adoption in the developer community.\u003c/li\u003e\u003cli\u003eWorking on real-time streaming and networking capabilities, a core priority for Gradio 7 and beyond.\u003c/li\u003e\u003cli\u003eCollaborating with open-source contributors and engaging with the broader community through code reviews, discussions, and support.\u003c/li\u003e\u003cli\u003eIntegrating modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications.\u003c/li\u003e\u003cli\u003eAdapting to evolving engineering challenges and contributing to the direction of our developer tools as the landscape changes.\u003c/li\u003e\u003c/ul\u003e","location":"France","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["developer-tools","python"],"apply_url":"https://apply.workable.com/j/DB4D7C0EC8","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-21T00:00:00Z","expires_at":"2026-11-13T16:56:08.558651Z","created_at":"2026-10-14T15:20:17.159523Z","updated_at":"2026-10-14T16:56:08.561819Z","company_name":"Hugging Face","company_slug":"hugging-face","company_logo_url":"https://www.google.com/s2/favicons?domain=huggingface.co\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/882add99-b1db-4a43-b7ca-5386ea3ad9d5"},{"id":"26b80b2b-2266-46c3-9700-cfb774f7813f","company_id":"04c258f6-368b-4c6a-b125-a00bf2e9558a","title":"Senior Open-Source Python Engineer, ML Developer Tools - US Remote","slug":"senior-open-source-python-engineer-ml-developer-tools-us-remote-d8f53bfe","description":"\u003cp\u003eAt Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets \u0026amp; 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the Role\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eRoles at Hugging Face are very fluid and dynamic — we are looking for someone who is comfortable taking on different challenges that will evolve over time.\u003c/p\u003e\u003cp\u003eYou'll join the Applications team, whose goal is to build the tooling that helps developers create machine learning applications on top of the primitives we offer on the Hub: \u003ca href=\"https://www.gradio.dev\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eGradio\u003c/a\u003e, \u003ca href=\"https://huggingface.co/spaces\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eSpaces\u003c/a\u003e, Inference Providers, Datasets, Xet, and more. Concretely, that means maintaining and growing libraries like \u003ca href=\"https://github.com/gradio-app/trackio\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eTrackio\u003c/a\u003e, a local-first, agent-friendly experiment tracking platform, \u003ca href=\"https://github.com/gradio-app/fastrtc\" rel=\"nofollow noreferrer noopener\" class=\"external\"\u003eFastRTC\u003c/a\u003e, our library for real-time audio and video streaming in Python, and Gradio itself, used by more than 1 million developers each month. These tools have made machine learning accessible to a wide audience — for the first time in history, anyone with an internet connection can use cutting-edge models right from their browser.\u003c/p\u003e\u003cp\u003eSeveral of these libraries are still early in their life, and new ones will start from scratch. A large part of this role is taking a project from its first users to widespread adoption: shaping the API, shipping fast, and getting it into developers' hands.\u003c/p\u003e\u003cp\u003eKey responsibilities include:\u003c/p\u003e\u003cul\u003e\u003cli\u003eDesigning, developing, and maintaining core features across the team's libraries, ensuring scalability, reliability, and ease of use for ML developers.\u003c/li\u003e\u003cli\u003eArchitecting complex Python projects and frameworks that serve as foundational tools for the ML community.\u003c/li\u003e\u003cli\u003eGrowing early-stage libraries: defining the API surface, writing the demos and documentation that make them click, and driving adoption in the developer community.\u003c/li\u003e\u003cli\u003eWorking on real-time streaming and networking capabilities, a core priority for Gradio 7 and beyond.\u003c/li\u003e\u003cli\u003eCollaborating with open-source contributors and engaging with the broader community through code reviews, discussions, and support.\u003c/li\u003e\u003cli\u003eIntegrating modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications.\u003c/li\u003e\u003cli\u003eAdapting to evolving engineering challenges and contributing to the direction of our developer tools as the landscape changes.\u003c/li\u003e\u003c/ul\u003e","location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["python","developer-tools"],"apply_url":"https://apply.workable.com/j/F88446C814","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-21T00:00:00Z","expires_at":"2026-11-13T16:56:08.563318Z","created_at":"2026-10-14T15:20:17.16353Z","updated_at":"2026-10-14T16:56:08.566403Z","company_name":"Hugging Face","company_slug":"hugging-face","company_logo_url":"https://www.google.com/s2/favicons?domain=huggingface.co\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/26b80b2b-2266-46c3-9700-cfb774f7813f"},{"id":"92028376-84a5-4bca-b991-dc7dc36dc305","company_id":"9a44a6cd-4b67-47b3-b209-7f794b08c799","title":"Member of Technical Staff - Product Eng (Python)","slug":"member-of-technical-staff-product-eng-python-8a9ac047","description":"At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools.\n\n\n\nWe raised a $25M Series A from Lightspeed https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/ with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x our ARR, our customer range from your friends in the YC batch to Wabi, Glean, Zoom and many more.\n\n\n\n\n\n\n\nWHAT YOU'LL DO?\n\n - elevate the experience of teams building on us, by improving our core APIs and SDK\n\n - deliver elegant interfaces both on the frontend and the sdk\n\n - own product end to end, taking them from inception to production\n\n - work closely with customers to win their hearts, improving the product in the process\n\n - writing crisp articulate docs\n\n\n\n\n\"MUST HAVES\"\n\nif you are very good, nothing is a must per-se\n\n - core product engineering\n   \n   - you have build product, taking them zero to one\n   \n   - you care deeply about the craft of the product you are building\n   \n   - you are able to hold many different persona at contention while delivering delightful experiences for them\n\n - ai native\n   \n   - you have built with the language models\n   \n   - you have built for the language models\n\n - python\n   \n   - you have mastery of the language, deeply understanding what is and isn't idiomatic python\n   \n   - you have built best in class developer experience in python\n\n - taste https://www.are.na/editorial/notes-on-taste — you have that \"finger feel\" what makes a good product.\n\n - typist — you can write docs well and explain complex ideas clearly\n\n - human — you build trust and admit what you don’t know\n\n\n\n\nOPTIONAL\n\n - contributions to a major open source project\n\n - started companies or build large side projects","location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["python"],"apply_url":"https://jobs.ashbyhq.com/composio/a226d878-a807-4d65-8192-5de607a3dce9/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-10T05:56:30.577Z","expires_at":"2026-11-13T16:57:35.624816Z","created_at":"2026-04-13T09:44:27.823287Z","updated_at":"2026-10-14T16:57:35.628081Z","company_name":"Composio","company_slug":"composio","company_logo_url":"https://www.google.com/s2/favicons?domain=composio.dev\u0026sz=128","quality_score":50,"url":"https://aidevboard.com/job/92028376-84a5-4bca-b991-dc7dc36dc305"}],"page":1,"per_page":20,"total":16,"total_is_exact":true,"total_pages":1}