AI Software Engineer – Java / Agentic AI

Position: AI Software Engineer – Java / Agentic AI / AIDLC
Location: Southlake, TX / Austin, TX – 4 Days Onsite
Duration: Long Term
Openings: 10

Job Overview

We are seeking experienced AI Software Engineers with strong Java development experience and hands-on expertise in Agentic AI and the AI Development Life Cycle (AIDLC) to build next-generation AI-powered applications and platforms.

The ideal candidate will have 10+ years of software engineering experience, strong hands-on Java experience, and proven experience developing, deploying, and supporting production-grade Generative AI and Agentic AI solutions across the AI Development Life Cycle.

What You'll Do

• Design, develop, test, deploy, and maintain scalable AI-powered applications using Java
• Work across the AI Development Life Cycle (AIDLC), including AI solution design, development, testing, evaluation, deployment, monitoring, and continuous improvement
• Build and integrate AI agents and Agentic AI workflows for enterprise applications
• Develop and optimize RAG architectures and knowledge retrieval pipelines
• Integrate LLMs such as OpenAI, Claude, Gemini, Llama, and similar models
• Develop AI agent orchestration using LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks
• Design and develop Java-based APIs, microservices, and cloud-native applications
• Implement vector databases and semantic search solutions
• Build intelligent assistants and AI-driven workflow automation
• Establish AI evaluation, guardrails, monitoring, observability, security, and governance
• Analyze AI application performance and continuously improve model, prompt, retrieval, and agent workflows
• Collaborate with architects, product teams, data scientists, and engineering teams to deliver enterprise AI solutions

Required Qualifications

• 10+ years of professional software engineering experience
• 10+ Strong hands-on Java development experience – Mandatory
• Hands-on Agentic AI / AI Agent development – Mandatory
• Experience with AIDLC / AI Development Life Cycle – Mandatory
• Hands-on experience building production-grade Generative AI applications
• Experience with:
  • OpenAI, Claude, Gemini, Llama, or similar LLMs
  • LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks
  • RAG architectures and vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or Milvus
• Strong experience with REST APIs, microservices, and distributed systems
• Experience with AWS, Azure, or Google Cloud Platform
• Strong understanding of software engineering, debugging, testing, and code reviews
• Experience deploying and supporting AI applications in production environments