Senior Full Stack Java / AI Engineer - Knowledge Graph & Agent Development

Senior Full Stack Java / AI Engineer Knowledge Graph & Agent Development

Location: Alpharetta, GA Onsite



Duration: 6+ Months Contract



Work Arrangement: 100% Onsite

Job Summary

We are looking for a Senior Full Stack Java Engineer with strong AI/GenAI capabilities to support an onsite project in Alpharetta, GA. The ideal candidate will have strong hands-on experience with Java full-stack development along with the ability to leverage AI tools, build AI agents/skills, work with knowledge graphs, and follow ADLC (AI Development Life Cycle) methodologies .

This role is ideal for a strong Java developer who has expanded into AI engineering, agent development, knowledge graphs, and AI-assisted software development .

Required Skills

• 6+ years of overall software development experience preferred
• Strong hands-on experience with Java / J2EE
• Full-stack development experience
• Strong experience with Spring Boot, REST APIs, Microservices
• Experience with front-end technologies such as React, Angular, or similar
• Strong understanding of SQL / NoSQL databases
• Experience building and consuming APIs
• Strong knowledge of AI/GenAI tools and platforms
• Hands-on experience building AI agents, AI skills, or agentic workflows
• Experience with Knowledge Graphs / Graph Databases
• Understanding of LLMs, prompt engineering, RAG, embeddings, and vector databases
• Ability to use AI coding/development tools effectively
• Understanding of ADLC (AI Development Life Cycle) or similar AI development methodologies
• Experience integrating AI capabilities into enterprise applications
• Strong problem-solving and analytical skills

Key Responsibilities

• Design, develop, and maintain full-stack Java applications
• Build scalable Spring Boot and microservices-based applications
• Develop and integrate AI/GenAI capabilities into enterprise applications
• Build and enhance AI agents, skills, and agentic workflows
• Develop and maintain knowledge graphs and graph-based solutions
• Integrate LLMs, RAG pipelines, vector databases, and AI services into applications
• Utilize AI-assisted development tools to improve productivity and software quality
• Follow ADLC / AI development lifecycle practices
• Work closely with architects, product teams, and business stakeholders
• Design and develop REST APIs and backend services
• Participate in application design, development, testing, deployment, and production support
• Ensure applications are scalable, secure, and maintainable

Preferred AI / Knowledge Graph Skills

Candidates with experience in one or more of the following areas are highly preferred:

• Generative AI / LLM
• AI Agents / Agentic AI
• AI Skills / Tool Calling
• Knowledge Graphs
• Graph Databases
• Neo4j
• RDF / SPARQL
• RAG
• LangChain / LangGraph
• Vector Databases
• Embeddings
• Prompt Engineering
• MCP or similar AI integration frameworks
• AI coding assistants such as GitHub Copilot, Cursor, Claude, etc.