AI Engineer | Rust | Python | TypeScript | Agentic Dev Tools | Must Have Startup Experience

About

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 Background

• 5+ years of professional software engineering, building and shipping production systems
• Production experience with Rust, Python, and/or TypeScript — strong in at least one, fluent across the stack
• Daily use of agentic coding tools as a primary development workflow — not surface-level Copilot use
• Proven delivery of AI dev infrastructure a team actually adopted
• Strong engineering fundamentals: architecture judgement, ability to reason across complex codebases, quality discipline when code generation is fast and cheap
• Clear communicator who can document workflows in ways engineers genuinely use

Very Important Notes

• Core product engineering role — not ML research, not data science, not frontend-heavy profiles
• Must be genuinely AI-native: you ship faster because of how you use agents
• Startup mindset is non-negotiable — high autonomy, fast iteration, no hand-holding
• Tech lead experience is a meaningful bonus, but engineering depth is the core requirement

Must-Haves

• Rust, Python, and/or TypeScript across production backend systems
• Agentic 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 team
• Experience building team-facing AI infrastructure: harnesses, context engineering, evaluation frameworks, automated feedback loops
• Ability to ship at high velocity without sacrificing quality
• Background in developer tooling, CLI engineering, or infrastructure is a strong signal

Bonus Experience

• Familiarity with reproducible build systems or package management tooling
• Tech lead experience — owning delivery and leading a team through execution
• Open-source contributions to AI tooling, agent frameworks, or developer infrastructure
• Experience at a mix of large structured companies and fast-moving startups
• Public work, writing, or content that demonstrates genuine passion for agentic development

Hands-On Experience With

• Rust, Python, TypeScript — across CLI tools, backend services, and infrastructure
• Agentic coding tools as a default engineering workflow
• AI development infrastructure: harnesses, rules files, evaluation frameworks, automated feedback loops
• AWS, Terraform, and modern cloud infrastructure
• Code review, architectural decision-making, and production system ownership at pace

What You'll Be Doing

Product Engineering

• Design, build, and ship platform features — owning them end-to-end from design through production
• Write production code using agentic tools as your default workflow, focused on the most complex and ambiguous parts of the system
• Own the quality, reliability, and architecture of what you ship

AI Infrastructure

• Build and maintain the team's agentic development infrastructure — harnesses, context engineering, automated feedback loops, and evaluation frameworks
• Evaluate new agentic tools and practices as the landscape evolves — run experiments, measure results, make evidence-based calls on what to adopt

Team Enablement

• Help engineers across the team develop sophisticated, reliable AI-assisted workflows
• Document what works, build shared practices, and codify lessons so they compound
• Exercise judgement on when agents accelerate real work — and when they introduce risk or false confidence

What They're Looking For

• A deeply technical engineer who is genuinely AI-native — not a dabbler, a builder
• Someone who has seen a high engineering bar at a structured company and has also operated in a startup
• A proactive, scrappy engineer who thrives on autonomy, ownership, and fast iteration
• Someone who can ship hard things fast — and make the whole team better at doing the same

If you meet the above requirements and want to work at the frontier of how software gets built, get in touch for a fast response.