Senior Full Stack GenAI Engineer Agentic AI / Knowledge Graphs
Location: Dallas, TX
Work Arrangement: 100% Onsite 5 Days/Week
Employment Type: Contract
Job Description
We are looking for a highly skilled Senior Full Stack GenAI Engineer for our client, American Airlines, in Dallas, TX.
The ideal candidate should have strong hands-on experience in Java/Python, React, TypeScript, Generative AI, Agentic AI, LangGraph, Knowledge Graphs, and AWS cloud services.
The role involves developing full-stack AI applications, implementing LLM-powered agentic workflows, integrating graph databases, and building Retrieval-Augmented Generation (RAG) solutions.
Key Responsibilities
Design, develop, and maintain full-stack applications using Java/Python, React, and TypeScript.
Develop Agentic AI applications and AI-assisted coding workflows.
Implement LLM-powered solutions using LangGraph.
Work with Neo4j and Amazon Neptune for graph-based data applications.
Develop and integrate Knowledge Graphs, ontologies, and semantic models.
Build RAG solutions using vector search, embeddings, and retrieval techniques.
Implement MCP (Model Context Protocol), tool use, and AI agent integrations.
Develop cloud-native solutions using AWS S3 and AWS Lambda.
Integrate AI capabilities with enterprise applications and APIs.
Collaborate with cross-functional teams to deliver scalable AI-powered applications.
Required Technical Skills
Programming: Java, Python
Frontend: React.js, TypeScript
Graph Databases: Neo4j, Amazon Neptune
Agentic AI: Agentic Coding, AI Agents, LangGraph
Generative AI: LLMs, Generative AI
Cloud: AWS S3, AWS Lambda
Knowledge Engineering: Knowledge Graphs, Ontologies, Semantic Modeling
RAG: Vector Search, Embeddings, Retrieval
AI Integration: MCP, Tool Use, API Integration
Required Qualifications
Strong hands-on software development experience with Java or Python.
Experience developing frontend applications using React and TypeScript.
Experience with Neo4j or Amazon Neptune.
Practical knowledge of Agentic AI, LLMs, and LangGraph.
Experience implementing Knowledge Graphs, ontologies, or semantic modeling.
Hands-on experience developing RAG applications with vector search and embeddings.
Experience with AWS S3 and Lambda.
Understanding of MCP and AI tool integration.
Excellent problem-solving and communication skills.
Must be able to work onsite 5 days per week in Dallas, TX.
