Senior Software Engineer, AI Systems

What You Will Do

• Build LLM-powered features into production systems — enrichment pipelines, intelligent triage, document processing, and workflow automation — using Anthropic Claude, OpenAI, and Google Gemini models from Python and TypeScript services.
• Design and maintain evaluation harnesses: golden datasets, scoring rubrics, and regression suites that catch quality drift before users do. AI systems are non-deterministic; you will test them like it.
• Engineer for cost and latency as first-class constraints: model tiering, prompt and context budgeting, caching, and batching — and defend the trade-offs with measurements.
• Build the guardrails production AI requires: structured-output enforcement, input validation and injection defense, output verification, and human-in-the-loop checkpoints for consequential actions.
• Build retrieval pipelines (embeddings, chunking, hybrid search, reranking) where the problem genuinely calls for them — and push back when it doesn’t.
• Own the failure modes: retries with graceful degradation, hallucination containment, confidence scoring, and feedback loops that make the system measurably better over time.

What We’re Looking For

• 4+ years of professional software engineering experience in Python or TypeScript building production systems — this is an engineering role first, an AI role second.
• You have shipped at least one LLM-powered feature to real users and lived with the consequences. Be ready to tell us what broke.
• You understand non-determinism: you evaluate AI systems with eval suites and measurements, not vibes and demos.
• You can reason about cost, latency, and quality trade-offs across models and explain why a cheaper model with better prompting beats a bigger one for a given job.
• Strong API, queue, and database fundamentals (REST, message queues, SQL) — AI features live inside real systems.
• Skeptical of hype, rigorous about evidence. You measure before you claim, and your English is strong enough to defend the measurement to an international engineering team.