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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer (GO/Rust/Python) AI Team - **Company:** STAFFING SCIENCE LLC - **Location:** San Francisco Bay Area, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Layers, App Store (IOS), Cursor (Graphical User Interface Elements), Software Debugging, DevOps, Python (Programming Language), Open Source Technology, Package Management Systems, Software Product Management, Backend, Production Code, Build Tools, GPT - **Published:** August 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/paen9549ue ## About the Role * Strong backend/infra engineering fundamentals in Go, Python, or Rust - this comes first, before anything AI-related. We need someone who can architect, debug, and ship production systems, full stop * A mix of large-company and startup experience - you've seen how things work at scale and how they work when you're building from scratch. Very open to people only who've been in the startup world though! * Real, hands-on experience with agentic coding tools in production - bonus points if you've built your own harness, custom skill/rules setup, or MCP server * Open source contributions - either maintaining your own projects or meaningful contributions to tools you use daily * Any exposure to software supply chain, package management, build systems, or secure-by-construction tooling is a strong plus given our security-focused product line * Ideally, direct experience on an AI-focused team: RAG, coding agents, internal AI tooling, or similar applied AI product work * DevOps experience is a nice-to-have, not a requirement ## Description We're hiring for a fast-moving engineering org building AI-native products - think coding agents, an internal AI app store, and RAG-powered tooling that the team ships and uses on itself. We're also active in the open source community and have a meaningful security-focused product line, so this is a team that thinks about software supply chain, provenance, and secure-by-construction tooling as much as it thinks about AI. You'll work inside a small, senior team of engineers who treat AI tooling as a core part of how they build, not a side experiment. This isn't a "dabbled with ChatGPT" role, and it isn't a role for someone light on fundamentals either. We need real engineering chops first - someone who can reason about complex systems, ship production-grade code, and make sound architectural calls - and layered on top of that, someone who lives in an agentic coding workflow daily and has probably already built something - a harness, a custom MCP server, an eval framework - to make these tools work better for a team, not just for themselves. What You'll Do * Design and ship features across infrastructure and application layers for AI-native products * Work hands-on with coding agents (Claude Code, Cursor, Codex, or similar) as your default development workflow - not an occasional assist * Build and improve internal AI tooling: agent harnesses, MCP servers, memory systems, and evaluation frameworks the whole team relies on * Contribute to RAG systems and other applied AI product work * Engage with our open source ecosystem - contribute to, maintain, or build on the projects we support and rely on * Work on security-adjacent product surfaces where software supply chain, provenance, and secure-by-construction principles are core to the design, not an afterthought * Collaborate closely with a small, senior, no-manager pod - you'll own outcomes, not just tickets * Represent the team at industry events (AWS re:Invent, KubeCon, and similar) as we grow our presence in the community ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)