AI/LLM Integration Engineer
- Salary
- $160K–$200K
- Hiring from
- United States
- Work type
- Hybrid
- Posted
511,072 remote jobs, straight from company career pages
100% free · New jobs every hour
Show job descriptionHide job description
About Us
Job Description
- Our growing client focuses on ERP/MRP software for manufacturers.
- Aims to support government manufacturing with FedRAMP focus.
- Familiarity with AI APIs, experience with agentic harnesses, prompt engineering.
- Python, LangChain, or similar orchestration frameworks are essential.
- 5+ years preferred, but strong candidates with 3+ years considered.
- Experience in smaller teams and ownership of projects beneficial.
- 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.
- Background in multi-agent systems or AI quality work.
- Experience from startups or hyperscalers is advantageous.
- 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.
- 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
Led multi-quarter technical initiatives or design work
Experience at early-stage startup or small team
Background in ERP, manufacturing, or defense tech
MS/PhD in Computer Science, AI/ML, or track record of publications / serious research
Expert-level Python backend development
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