Staff AI Engineer (Agentic Systems)

**Requirements (must have)**
(Hiring at different levels for the same role - required experience years, expected skill level will vary as per role level)

• 3+ years building and shipping ML/LLM systems in production (or equivalent founder-level experience)
• Proven experience building agentic products/companies: multi-step workflows, tool use, orchestration, reliability engineering
• Deep hands-on expertise in:
  • RAG and retrieval systems (vector databases, reranking, grounding strategies)
  • LLM evals (golden sets, automated judging, human eval, regression pipelines)
  • Prompting and structured outputs (schemas, function/tool calling, robustness)
  • Model training/fine-tuning fundamentals and tradeoffs (when to tune vs prompt vs retrieve)
• Strong software engineering: clean APIs, testing, observability, performance tuning, secure-by-default design
• Comfortable owning ambiguous problems end-to-end and driving them to measurable outcomes

Strong preference (nice to have)

• Experience building systems with compliance/audit requirements (fintech/insurance/health/enterprise)
• Experience with document AI at scale (PDFs, images, messy inputs), and extracting structured truth reliably
• Experience designing human-in-the-loop workflows and escalation rules for high-stakes decisions
• Experience with infra for LLMs: model hosting, batching, streaming, caching, prompt/version management
• Startup or ex-founder background, especially shipping 0→1 products fast

What success looks like (first 90 days)

• You ship an agentic workflow that replaces meaningful manual ops work and improves a measurable metric (cycle time, accuracy, cost per claim, attach rate, CSAT)
• You implement an eval harness that catches regressions before production and gives us a reliable “quality score” per workflow
• You establish a scalable architecture pattern for agents (permissions, audit logs, observability, fallbacks) that the team can replicate

Tech environment
We’re cloud-native and move fast. Expect Python for ML/agents, TypeScript for product surfaces, Postgres for systems of record, event-driven services, and a modern LLM + retrieval stack with strong observability and CI/CD. And AWS+Azure for infra.

Why this role is special

• Build an AI-native category-defining company in a massive market
• Direct founder exposure and high leverage: your work will change the trajectory of the company
• Real breadth: growth + underwriting/claims ops + product, in one seat
• Career accelerant: if you perform, your scope and title will grow quickly

How to Apply

• Please ensure your profile is up to date and includes a link to your LinkedIn.
• In your application message, share 3 things you’ve built or delivered and the results you achieved in one simple sentence per example (3 sentences total).

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.