[SX/EIT-MM] AI/Agent Engineers (1-year contract)
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Job Description
• Architect agentic systems — plan, memory, tool use, multi-agent delegation, evaluation loops, guardrails. Pick the right abstraction for the problem, not the one on the hype curve.
• Push model capability into production. Design prompt and context strategies, tool interfaces, retrieval and reranking, structured output, streaming, and evaluation — across text and multimodal inputs (vision, documents, audio).
• Own the evaluation story. Build offline eval sets, online LLM-as-judge loops, regression harnesses. Know the difference between a metric that moves your users and a metric that moves only your dashboard.
• Squeeze the system. Prompt caching, batching, speculative decoding, model routing, token budget management, latency targets. Know your P50/P99 and why they look the way they do.
• Contribute upstream. Read SDK source when docs are thin, open PRs against open-source agent frameworks, write crisp bug reports when a vendor's orchestration service returns a weird 500.
• Mentor and set the bar. Your design reviews, code reviews and technical writing shape how the rest of the team thinks about agents.
Requirements
Function: Information Technology
Experience Level: Associate