AI/LLM Integration Engineer

AI Talent Now; San Diego (CA); Hybrid; USD 160,000 - 200,000; Full time

Job summary

AI Talent Now is seeking a skilled AI Engineer in San Diego, California, with a strong background in multi-agent systems and AI frameworks. The successful candidate will work in a hybrid model, contributing to the development of agentic systems and directly collaborating with a tech lead and junior engineer.

Key qualifications include familiarity with AI APIs, solid Python skills, and the ability to build systems in production. Competitive salary range of $160k–$200k provided, with potential for growth.

Qualifications

• 5+ years in relevant AI/ML roles preferred, 3+ years strong candidates considered.
• Experience in early-stage startups or small teams is beneficial.
• Hands-on experience with LLM APIs including OpenAI and Anthropic.

Responsibilities

• Build multi-agent or agentic LLM systems in production.
• Work closely with a tech lead and junior engineer.
• Contribute to the evaluation and measurement of AI system quality.

Skills

AI APIs

Python

LangChain

Multi-agent systems

PostgreSQL

GraphQL

FastAPI

Education

MS/PhD in Computer Science, AI/ML

Job description

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.