Lead AI Engineer

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

Fort Worth, TX/ Hybrid/ Long term Contract

About the Role

Key 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.

Experience & Requirements

Experience

• Total Experience: 9 years minimum.
• Software Development: 5+ years.
• Agentic AI Development: 2+ years of hands-on experience building AI agents using LangGraph, LangChain, Semantic Kernel, 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, distributed systems, REST APIs, and event-driven design.
• Proven experience integrating AI solutions with enterprise applications.

Technical Skills

• Must-Have: Python, LangGraph, LangChain.
• AI & LLM Tools: OpenAI, Claude, Gemini, or similar LLMs; Prompt Engineering; Tool/Function Calling; RAG.
• Databases & Infrastructure: Vector Databases (Pinecone, pgvector, Weaviate, ChromaDB, FAISS, or similar), REST APIs, Docker, Kubernetes, Git.

Nice-to-Have Skills

• MCP (Model Context Protocol) or AI tool integration.
• Agent evaluation, tracing, and observability.
• Experience building production AI applications at scale.
• Airline or travel industry experience.

About VGAI Solutions

VGAI Solutions is an AI-native and technology solutions firm that helps organizations build high-performing engineering and technology teams. MBE-certified and ISO 9001-registered, we operate across the USA, Mexico, UAE, Mauritius, and India, with our Global Delivery Center in Hyderabad. From specialized IT to engineering talent to end-to-end AI solutions, we deliver the human capital that powers our Fortune 1000 clients.

Equal Opportunity Statement

VGAI Solutions is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic.