AILLM Integration Engineer
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Monthly Salary:
Experience Required:
Posted:
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Job Summary
- Iron Flow 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.
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
Required Skills:
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
Required Education:
Education:MS/PhD in Computer Science AI/ML or track record of publications / serious research
