Lead Engineer- AI Agent Platform at Workiy
Nashville, TN
—
Aug 10, 2026
Nashville, TN
Sep 24, 2026
What this job asks for AI summary
A hands-on Lead Engineer role focused on building and scaling an enterprise AI Agent Platform. Day-to-day work involves designing and implementing AI agents, RAG pipelines, and agentic workflows on GCP/Vertex AI/GKE, alongside platform infrastructure, CI/CD, observability, and LLM evaluation. Suited to a senior engineer with deep experience in both cloud-native distributed systems and applied LLM/generative AI development.
Senior level · 8+ years
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 13, 2026. It is a model, not a headcount.
Why we read it this way (7)
The job title is 'Lead Engineer' but carries no explicit seniority level word (Junior/Mid/Senior/Staff/Principal), so advertised seniority is Unspecified. The 8+ years requirement and scope of ownership support a Senior classification.
LangChain and LangGraph are listed together as interchangeable options ('LangChain, LangGraph, or similar'); LangGraph is captured as an alternative to LangChain.
Distributed systems and API architecture are mentioned as requirements but name no specific technology or tool, so they are omitted per extraction rules.
Multi-LLM/model provider experience is listed as a requirement but names no specific tool or platform; it is omitted as a generic concept.
LLM evaluation, testing, benchmarking, and regression frameworks are required but no specific framework is named; omitted as a generic concept.
AI governance is explicitly called out as 'a plus', so it is marked as preferred.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI governance.
Read the full posting
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