Lead AI Engineer: Architect Multi-Agent AI & Microservices

VGAI Solutions; Fort Worth (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

VGAI Solutions in Fort Worth, TX, seeks a senior AI software engineer to design and build AI agents using LangGraph and LangChain, integrating with Java Spring Boot microservices via REST APIs and event-driven architecture. You will lead a small team of 3–4 engineers, shape technical direction, and ensure production-ready, scalable AI applications with robust prompts, memory, and orchestration.

This hybrid, long-term contract role offers the chance to impact enterprise AI solutions across

Qualifications

• Total Experience: 9+ years in software development.
• 5+ years in software development.
• 2+ years building AI agents with LangGraph, LangChain or similar frameworks.
• Strong background in prompt engineering, tool calling, agent orchestration, and LLM workflows.
• Working knowledge of Java and Spring Boot.
• Solid understanding of microservices architecture, REST APIs, and event-driven design.
• Proven experience integrating AI solutions with enterprise applications.

Responsibilities

• Design and develop AI agents using LangGraph, LangChain, or similar frameworks.
• Build multi-agent workflows, tool integrations, and RAG solutions.
• Integrate AI agents with Java Spring Boot microservices through REST APIs and event-driven architectures.
• Design prompts, tool-calling workflows, memory, and agent orchestration.
• Build reliable, scalable, and production-ready AI applications.
• Lead a team of 3 to 4 engineers, providing technical direction and architectural oversight.

Skills

Python

LangGraph

LangChain

Java

Spring Boot

REST APIs

Kubernetes

Docker

Tools

Git

Docker

Kubernetes

REST APIs

Job description

VGAI Solutions in Fort Worth, TX, seeks a senior AI software engineer to design and build AI agents using LangGraph and LangChain, integrating with Java Spring Boot microservices via REST APIs and event-driven architecture. You will lead a small team of 3–4 engineers, shape technical direction, and ensure production-ready, scalable AI applications with robust prompts, memory, and orchestration.

This hybrid, long-term contract role offers the chance to impact enterprise AI solutions across