Soter

AI Engineer

• Own the AI engine: Design and evolve context architectures (templates, few-shot examples, structured outputs); manage context window limits; optimize for quality and cost; validate schemas and handle edge cases
• Architect and ship agentic workflows: Design agent boundaries, clean tool interfaces, failure handling, and human oversight points; manage agent state across turns; ensure robustness through guardrails and graceful degradation
• Drive AI quality: Define success criteria before shipping; build and run eval sets; catch regressions before users do; analyze failure patterns systematically; iterate on evidence, not gut feel
• Own AI production operations: Trace LLM calls and agent steps across the stack; monitor cost and latency; set SLOs; respond to incidents; establish operational runbooks
• Write solid Python backend code: Build APIs, microservices, and database schemas that support the above; own deployment and on-call for your services
• Raise the engineering bar: Champion clean code, the testing pyramid, and sharp code reviews across the team

Senior AI/ML Engineer