Builds autonomous AI agents for workflows like email generation, prospect research, and meeting scheduling. Requires 2+ years shipping AI products with expertise in LLMs, RAG, agents, and production optimization.
Salary not listed
On-site2+ YOEML Engineering
About the role
Responsibilities
Evaluating LLMs, choosing models balancing cost, latency, reliability, and accuracy.
Architecting prompt frameworks and agent behaviors for core workflows: email generation, chat interaction, meeting scheduling, prospect research.
Optimizing multi-step agent chains using RAG, web search integrations, tool use (CRMs, calendars, APIs).
Driving infrastructure for routing, orchestration, eval loops, persistent memory across agents.
Building safety, trust, controls, partnering with product on guardrails, fail-safes, success metrics.
Exploring emerging modalities: voice AI, talking head technology, multi-modal reasoning.
New grad software engineer optimizing performance of autonomous vehicle software. Profile, debug, and reduce latency of C++ systems running on x86, ARM, and GPUs while building tools for memory management and high-performance code.
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