AI Engineer | Rust | Python | TypeScript | Agentic Dev ...

AI Engineer | Rust | Python | TypeScript | Agentic Dev Tools | Must Have Startup ExperienceLocation: San Francisco, CA / New York, NY (Hybrid preferred; remote for exceptional US-based candidates)Package: $280,000 - $400,000 + competitive equityEligibility: Open to candidates with existing work authorisation - US Residents OnlyTech Stack: Rust | Python | TypeScript | AWS | Terraform | Sentry | Claude Code | Cursor | GitHub Copilot?? Please only apply if you have commercial experience with all of the following ??Production-grade backend engineering in Python, Rust, and/or TypeScriptDaily use of agentic coding tools (Claude Code, Cursor, Copilot, or equivalent) as your primary dev workflowExperience building AI development infrastructure beyond personal use "” harnesses, agent skills, eval frameworks, automation scripts adopted by a team5+ years shipping production systemsStartup / scale-up experienceStrong engineering fundamentals "” architecture judgement, complex codebases, quality discipline under velocity?? Join an investor-backed, high-growth software company building infrastructure that serious engineering teams depend on. This is not a role where AI is bolted on "” it's embedded in how the team ships, every day. You'll own features end-to-end, build agentic development infrastructure for the whole organisation, and help define what high-velocity, high-quality engineering looks like when agents are the default.The talent bar is exceptionally high. The problems are genuinely hard. The opportunity is significant.Required Background5+ years of professional software engineering, building and shipping production systemsProduction experience with Rust, Python, and/or TypeScript "” strong in at least one, fluent across the stackDaily use of agentic coding tools as a primary development workflow "” not surface-level Copilot useProven delivery of AI dev infrastructure a team actually adoptedStrong engineering fundamentals: architecture judgement, ability to reason across complex codebases, quality discipline when code generation is fast and cheapClear communicator who can document workflows in ways engineers genuinely use?? Very Important NotesCore product engineering role "” not ML research, not data science, not frontend-heavy profilesMust be genuinely AI-native: you ship faster because of how you use agentsStartup mindset is non-negotiable "” high autonomy, fast iteration, no hand-holdingTech lead experience is a meaningful bonus, but engineering depth is the core requirementMust-HavesRust, Python, and/or TypeScript across production backend systemsAgentic tooling (Claude Code, Cursor, GitHub Copilot, or equivalent) used daily "” with a real point of view on how it should work inside a professional engineering teamExperience building team-facing AI infrastructure: harnesses, context engineering, evaluation frameworks, automated feedback loopsAbility to ship at high velocity without sacrificing qualityBackground in developer tooling, CLI engineering, or infrastructure is a strong signalBonus ExperienceFamiliarity with reproducible build systems or package management toolingTech lead experience "” owning delivery and leading a team through executionOpen-source contributions to AI tooling, agent frameworks, or developer infrastructureExperience at a mix of large structured companies and fast-moving startupsPublic work, writing, or content that demonstrates genuine passion for agentic developmentHands-On Experience WithRust, Python, TypeScript "” across CLI tools, backend services, and infrastructureAgentic coding tools as a default engineering workflowAI development infrastructure: harnesses, rules files, evaluation frameworks, automated feedback loopsAWS, Terraform, and modern cloud infrastructureCode review, architectural decision-making, and production system ownership at paceWhat You'll Be DoingProduct EngineeringDesign, build, and ship platform features "” owning them end-to-end from design through productionWrite production code using agentic tools as your default workflow, focused on the most complex and ambiguous parts of the systemOwn the quality, reliability, and architecture of what you shipAI InfrastructureBuild and maintain the team's agentic development infrastructure "” harnesses, context engineering, automated feedback loops, and evaluation frameworksEvaluate new agentic tools and practices as the landscape evolves "” run experiments, measure results, make evidence-based calls on what to adoptTeam EnablementHelp engineers across the team develop sophisticated, reliable AI-assisted workflowsDocument what works, build shared practices, and codify lessons so they compoundExercise judgement on when agents accelerate real work "” and when they introduce risk or false confidenceWhat They're Looking ForA deeply technical engineer who is genuinely AI-native "” not a dabbler, a builderSomeone who has seen a high engineering bar at a structured company and has also operated in a startupA proactive, scrappy engineer who thrives on autonomy, ownership, and fast iterationSomeone who can ship hard things fast "” and make the whole team better at doing the sameIf you meet the above requirements and want to work at the frontier of how software gets built, get in touch for a fast response.

Created: 2026-05-09