{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace \u0026 Defense, Materials, Energy, Semiconductors, and Automotive.\n The Role\n PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform handles massive volumes of complex simulation data and enables high fidelity multi physics simulation through AI inference.\n We are looking for a Senior (potentially Staff level, depending on the candidate) Software Engineer to join the AI Workbench platform team. This is a software engineering role, not an ML research role. You do not need to be a practising ML engineer, but you do need to be fluent in the language of ML and data platforms, ideally through prior hands on experience with ML platforms or data science work.\n The team sits in a highly infrastructure heavy domain without being an infrastructure team itself. A large part of the role is building strong working relationships with the infrastructure team and owning the work that falls in the space between the two, where ownership is not always clearly defined. You will also play a key role in mentoring and developing engineers across the team, some of whom are early career and some mid career.\n Note for candidates: PhysicsX is currently going through a team reorganisation. The scope of this role may evolve as team structures settle, and we have kept this description intentionally broad rather than narrowly tailored to today's team shape.\n What You Will Do\n \n Design and build distributed systems, services, and APIs for high dimensional simulation data across the machine learning lifecycle, from data processing and model training to inference services.\n Own work end to end in a domain where responsibilities often sit between the AIWB platform team and the wider infrastructure team, and proactively build the relationships needed to manage that ambiguity well.\n Build tools that enable data scientists and engineers to create automated, robust pipelines for data ingestion and processing, powering active learning loops.\n Architect and integrate storage solutions, data warehouses, and data lakes to handle the demands of complex simulations, multimodal data, and deep learning workloads.\n Deploy and support services across more than one production environment, including cloud and on premises or air gapped customer environments.\n Define system architecture for new capabilities, making trade offs across performance, reliability, cost, and developer experience.\n Author and review Technical Decision Records and contribute to Technology Radar reviews.\n Mentor and support the growth of engineers across the team, including those earlier in their careers, and act as a technical role model.\n Remain genuinely hands on. Writing code stays part of the job at every level, this is not a purely managerial track.\n Communicate clearly and confidently with a wide range of stakeholders and personalities across engineering, delivery, and customer facing teams.\n \n What You Bring to the Table\n \n A passion for the craft. You are driven by engineering excellence and enjoy building things properly, not just shipping quickly.\n Strong Kubernetes experience. This is a must have, including comfort with CRDs, Operators, and infrastructure configuration tools such as Helm or ArgoCD.\n Strong command of Go, plus working knowledge of Python. Comfort with Rust is also valued. Experience across Kubernetes, Go, Python, and Rust is ideal.\n Experience deploying and supporting services in more than one production environment, not just a single deployment target.\n An ML platform background or prior data science experience, even if you have since moved into pure software engineering. You understand how ML practitioners and researchers think and talk about problems.\n Intellectual curiosity and a proactive approach. You do not need to be told what to do next.\n Strong communication and organisational skills, with experience operating at a senior or staff level, or equivalent people leadership experience, in a comparable engineering organisation.\n Comfort with ambiguity and an adaptable, startup minded approach. PhysicsX moves quickly and priorities shift, and we are looking for people who thrive in that environment rather than finding it difficult.\n Prior experience mentoring or developing other engineers.\n \n Ideally\n \n Experience at an ML focused startup or platform company, or a str","location":"London, UK","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["data-pipeline","healthcare","deep-learning","distributed-systems","go","python","backend"],"apply_url":"https://job-boards.eu.greenhouse.io/physicsx/jobs/4958818101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T13:24:07Z","expires_at":"2026-09-28T13:46:53.916238Z","created_at":"2026-08-26T13:45:33.015386Z","updated_at":"2026-08-29T13:46:54.072433Z","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/c2cf61c5-e331-47d0-b6b2-75a42d02c8e5"},{"id":"b0fd1b50-deba-4b4d-8258-4044ce4a6841","company_id":"0143fcae-f513-4ef7-a87b-e1d0d136f7a6","title":"Senior Go Engineer (AI Lab)","slug":"senior-go-engineer-ai-lab-37ac6655","description":"About Workato \n Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com \n Why join us? \n Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company.  \n But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.  \n If this sounds right up your alley, please submit an application. We look forward to getting to know you! \n Also, feel free to check out why: \n \n \n Business Insider named us an “enterprise startup to bet your career on” \n \n Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world \n \n Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America \n \n Quartz ranked us the #1 best company for remote workers \n \n We are looking for a Software Engineer (Go) to join our Platform team . Our platform is a large-scale system combining a Ruby on Rails monolith with a growing ecosystem of Go microservices. In this role, you will build and maintain business logic and enterprise-grade features for the Workato platform, including on-premise features, authentication, caching, work queuing, and APIs. You will also be expected to:\n • Design, build, and maintain Go microservices with a focus on correctness and reliability. • Implement business logic and enterprise-quality standards across the platform. • Collaborate with Infra and SRE teams to ensure high availability and scalability requirements are met. • Contribute across all phases of the development lifecycle. • Write well-designed, testable, and efficient code. • Evaluate and propose improvements to existing systems. Required \n • 5+ years of industry experience in software engineering. • Solid experience with Go on the backend (2+ years). • Good debugging, analytical, and problem-solving skills. • Understanding of core building blocks of web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.. • Experience working with distributed systems. • Familiarity with version control (Git) and CI/CD practices. Nice to Have \n • Experience with Ruby on Rails. • Experience building B2B systems. • Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc.). • Experience with third-party REST APIs at scale (request throttling, batch processing, etc.). • Contributions to open-source projects. Soft Skills / Personal Characteristics \n • Readiness to work with teams distributed across multiple timezones. • Strong spoken and written English. • Curiosity and openness toward new technologies; willingness to experiment. • Ownership mindset — comfortable taking features from design through to production and maintenance.","location":"Singapore","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","distributed-systems","microservices","agents","go"],"apply_url":"https://www.workato.com/careers?gh_jid=8499680002#open-roles","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-09T06:50:28Z","expires_at":"2026-09-28T13:51:53.353Z","created_at":"2026-05-27T14:20:13.239836Z","updated_at":"2026-08-29T13:51:53.537551Z","company_name":"Workato","company_slug":"workato","company_logo_url":"https://www.google.com/s2/favicons?domain=workato.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/b0fd1b50-deba-4b4d-8258-4044ce4a6841"},{"id":"c975dff1-9a6c-4770-ac44-157b7da72382","company_id":"001b54ce-7a42-48ed-9cc0-c35aa150b628","title":"AI Backend Developer, Binance Square (Java, Golang, Python)","slug":"ai-backend-developer-binance-square-java-golang-python-42219286","description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.\n\n\nAbout the team\n \nBinance Square is a social content and discovery platform within the Binance ecosystem, serving millions of users with real-time market insights, creator-driven content, and AI-powered recommendations. The AI \u0026 Data Services team builds the backend infrastructure that powers content discovery, personalized feeds, and intelligent data services across the platform.\n","location":"Taipei, Taiwan","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"mid","tags":["payments","python","backend","go"],"apply_url":"https://jobs.lever.co/binance/517f9531-86cc-4260-924f-6240e4bf8b36/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2023-02-07T03:53:00.653Z","expires_at":"2026-09-28T13:42:26.831469Z","created_at":"2026-07-30T14:11:54.328753Z","updated_at":"2026-08-29T13:42:26.985832Z","company_name":"Binance","company_slug":"binance","company_logo_url":"https://www.google.com/s2/favicons?domain=binance.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/c975dff1-9a6c-4770-ac44-157b7da72382"},{"id":"73d93a36-7b0b-48d4-b2dc-9b90d7371ef4","company_id":"001b54ce-7a42-48ed-9cc0-c35aa150b628","title":"Golang Engineer (Recommendation), Strategy Engine","slug":"senior-golang-engineer-recommendation-strategy-engine-ebecb186","description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.\n","location":"Hong Kong","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"mid","tags":["payments","backend","go"],"apply_url":"https://jobs.lever.co/binance/eb2c1d7c-ad2c-4c76-b929-efb1a79cd5d8/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-11-07T02:19:10.364Z","expires_at":"2026-09-28T13:42:30.78557Z","created_at":"2026-04-14T03:39:05.443747Z","updated_at":"2026-08-29T13:42:30.994461Z","company_name":"Binance","company_slug":"binance","company_logo_url":"https://www.google.com/s2/favicons?domain=binance.com\u0026sz=128","quality_score":55,"url":"https://aidevboard.com/job/73d93a36-7b0b-48d4-b2dc-9b90d7371ef4"},{"id":"685bc038-a526-4337-9771-3049ef02ccfd","company_id":"ed35c6be-922e-4cea-9fd1-a9fd1e51e6a0","title":"Open Source Engineer - Go","slug":"open-source-engineer-go-b132e2e4","description":"ABOUT THE COMPANY\n\nBraintrust is the agent observability platform. By actively applying intelligence to agent traces and automatically surfacing the most critical patterns, Braintrust gives teams the visibility to understand how agents behave in production and the tools to improve them.\n\nTeams at Notion, Stripe, Box, OpenAI, and Cloudflare use Braintrust to trace their agents, find the issues in their observability data, and run evals that tell them how to improve.\n\n\nABOUT THE ROLE\n\nWe’re hiring engineers to build the open-source libraries that customers use to observe, understand, and optimize how AI operates inside their production applications. These SDKs are a critical part of Braintrust’s platform. They power evaluation and observability pipelines across a wide range of environments, frameworks, and AI providers.\n\nThis role is ideal for engineers who are passionate about developer experience, API craftsmanship, and building fast, reliable, and idiomatic libraries. You’ll own the full SDK lifecycle: design, implementation, release, documentation, and community support. Your work will be embedded in thousands of applications and help define how AI is adopted and operationalized across industries.\n\n\nWHAT YOU’LL DO\n\n - Build elegant, idiomatic, and resilient SDKs that power Braintrust’s LLM evaluation and AI observability platform.\n\n - Ensure our libraries are easy to use, efficient to run, and a delight to work with, prioritizing developer experience and performance.\n\n - Integrate with major AI providers, frameworks, and platforms our customers rely on, such as OpenAI, Anthropic, and Gemini.\n\n - Build tools and automation to improve testing, profiling and simplify release workflows.\n\n - Collaborate closely with backend, platform, and product teams to ensure a cohesive and polished developer experience.\n\n - Be a great community ambassador: talk with our users, understand their issues, help them get their fixes merged and have deep empathy for our users.\n\n\nYOU MIGHT BE A FIT IF YOU:\n\n - Are customer-obsessed and passionate about solving real-world problems for developers.\n\n - Have deep expertise in Go and understand what it takes to build fast, idiomatic, and reliable libraries in that ecosystem.\n\n - Are proficient with the tooling needed to build robust SDKs, such as testing frameworks, profilers, CI/CD pipelines, and packaging systems.\n\n - Care deeply about developer experience, from clean APIs and clear docs to thoughtful error handling and backward compatibility.\n\n - Know how to wrap, patch, or extend existing frameworks and SDKs to inject observability and control without breaking developer workflows.\n\n - Have experience maintaining or contributing to production-grade open-source libraries, ideally used across multiple environments.\n\n - Bonus: You’ve contributed to popular open source projects, led SDK adoption at your organization, are familiar with tracing and observability tools like OpenTelemetry, or worked on tools in the LLM/AI ecosystem.\n\n\nBENEFITS INCLUDE\n\n - Medical, dental, and vision insurance\n\n - Daily lunch, snacks, and beverages\n\n - Flexible time off\n\n - Competitive salary and equity\n\n - Wifi \u0026 cellphone stipend \n\n\nEQUAL OPPORTUNITY\n\nBraintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.","location":"Remote","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"mid","tags":["payments","llm","go"],"apply_url":"https://jobs.ashbyhq.com/braintrust/2a6c4ee9-063f-45d4-83ba-faf64b1f1a60/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-07-28T20:16:48.42Z","expires_at":"2026-09-28T13:37:29.297035Z","created_at":"2026-04-13T09:42:44.825783Z","updated_at":"2026-08-29T13:37:29.450782Z","company_name":"Braintrust","company_slug":"braintrust","company_logo_url":"https://www.google.com/s2/favicons?domain=braintrust.dev\u0026sz=128","quality_score":50,"url":"https://aidevboard.com/job/685bc038-a526-4337-9771-3049ef02ccfd"}],"page":1,"per_page":20,"total":5,"total_is_exact":true,"total_pages":1}