Note: The job is a remote job and is open to candidates in USA. Staffing Science is a fast-moving engineering organization focused on building AI-native products. They are seeking a Senior Software Engineer to design and ship features for AI tools, engage with the open source community, and work closely with a small, senior team to deliver production-grade code.
Responsibilities
- 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
Skills
- 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
Company Overview