San Diego, United States | Posted on 06/29/2026
Job Description
AI Talent Now ZR 89
Role Requirements
- Familiarity with AI APIs, experience with agentic harnesses, prompt engineering.
- Python, LangChain, or similar orchestration frameworks are essential.
Candidate Requirements
- 5+ years preferred, but strong candidates with 3+ years considered.
- Experience in smaller teams and ownership of projects beneficial.
Team Structure
- Two current team members; the new hire will work closely with them.
- Looking for a hands‑on role to complement a tech lead and junior engineer.
Ideal Candidate Profile
- Background in multi‑agent systems or AI quality work.
- Experience from startups or hyperscalers is advantageous.
Compensation and Logistics
- Salary range initially set at $160k–$200k, potential increase to $250k.
- Hybrid work model with preference for San Diego; some flexibility for Bay Area or LA.
Timeline and Urgency
- No candidates interviewed yet; actively sourcing for the role.
- Looking to fill the position quickly to expand the team to 10 members.
Requirements
- Built multi‑agent or agentic LLM systems in production and has worked with foundation model APIs (Gemini, Claude, etc.).
- Has worked on evals or measurement of AI system quality.
- Experience at early‑stage startup or small team.
- Background in ERP, manufacturing, or defense tech.
- Education: MS/PhD in Computer Science, AI/ML, or track record of publications / serious research.
- Hands‑on with LLM APIs (OpenAI, Anthropic, etc.).
- Has built agentic systems or multi‑agent setups – LangChain, LangGraph, Strands, ADK, or any orchestration framework.
- Has done RAG, embeddings, or retrieval infrastructure, expanding agent capabilities with structured/unstructured data.
- PostgreSQL, GraphQL, or FastAPI experience.