AI Engineer - LLM Adoption Department (LLMAD)
Core
Build and embed agentic workflows and integrations for in-house LLMs within business units, replacing third-party alternatives.
Role type
Senior IC AI Engineer (LLM adoption & agentic workflows)
Builds
Production agent workflows, tool-use integrations, and prompt-based features for business units
Domain
AI / Large Language Models / Enterprise Software
Deliverable
production ML models
Required skills
Agentic engineering (function calling, orchestration), Prompt engineering, Python, API integration, Backend services, Unit testing, Debugging, Latency optimization, Cost optimization, Evaluation harness design
Preferred skills
Retrieval-augmented generation (RAG), LLM observability, Self-hosted inference (vLLM), Cloud model deployment
Technologies
Python, vLLM, Open-source LLMs
Responsibilities
Implement agent and tool-use workflows (function calling, multi-step flows, retrieval, guardrails) in business unit codebases; Debug production failures and optimize latency/cost; Run task-level evaluations and maintain eval sets; Design and iterate prompts, output schemas, and tool definitions; Support migrations from third-party APIs to in-house models; Document reusable recipes and templates for team adoption
Seniority
Mid-Senior, hands-on IC
