Senior Full Stack GenAI Engineer Agentic AI / Knowledge Graphs

Project overview

Senior Full Stack GenAI Engineer Agentic AI / Knowledge Graphs

Project details

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

Required Technical Skills

Required Qualifications

-

Job Facts: Contract W2 | Contract Independent | On-site | Depends on Experience

Skills: Java, Python, React, TypeScript, Neo4j, Neptune, Agentic AI, Agentic Coding, AWS S3, AWS Lambda, LLM, LangGraph, Knowledge Graph, Ontology, Semantic Modeling, RAG, Vector Search, Embeddings, MCP, Tool Calling Copy Keywords

Reference: Dice Id: 90661967 | Position Id: 9111026

• 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.
• 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
• 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.
• Start: flexible
• Remote: onsite
• Location: Dallas, TX, US, US