Timeline
4–12 weeks
Starts at
From a scoped 4-week sprint
AI-native product engineering
Production LLM systems that survive contact with reality — evals, retrieval, agents, observability and the kind of guardrails that make a CTO sleep.
- Eval harnesses (offline + online) tied to product KPIs, not vibes
- Retrieval pipelines with measurable recall, not vendor demos
- Multi-step agents with planning, tool-use and reliable hand-offs
- Cost & latency budgets enforced at the system level
- LLM router design — small/big model orchestration
- Fine-tuning, distillation, and prompt-program engineering