AI Engineer

About the role

We're hiring an AI Engineer to design, build, and ship production AI systems — not prototypes, not notebooks. This role is not for someone who has "used ChatGPT a lot" or built a weekend RAG demo. We want people who have shipped agentic or LLM-powered systems that other engineers depend on, who understand why those systems break, and who can hold their own in a room full of skeptical senior engineers.

What you'll do

• Design and build production-grade AI/agentic systems — from architecture through deployment, monitoring, and iteration — not just model calls wrapped in a script
• Own the full lifecycle of at least one non-trivial AI capability: problem framing, evaluation strategy, prompt/context engineering, orchestration, deployment
• Build deterministic guardrails around probabilistic components — retries, validation, fallback paths, human-in-the-loop checkpoints where confidence is low
• Design evaluation harnesses and offline/online eval pipelines that actually catch regressions, not vanity metrics
• Make real architectural tradeoffs on latency, cost, and reliability — token economics is a design constraint you think about upfront, not an afterthought

What you need

• LLMs
• Python
• CI/CD
• TypeScript
• ETL
• Prototyping

Good to have

• AWS
• GCP
• Technical writing
• Kubernetes
• Azure