Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Fort Worth, TX, United States
Posted
23 hours ago
DockerMicroservicesSpringSpring BootGitJavaLLMPythonGenerative AIRESTKubernetesJavaScriptTypeScriptPrompt EngineeringLangChainLangGraphRAG
Job Description
Role: Senior AI Engineer – Agentic AI (Python / LangGraph / LangChain)
Location: Fort Worth, TX (Hybrid – Onsite Tuesday to Thursday; Remote Monday & Friday)
Duration: Long Term
Required Skills
- Mandatory: Python, LangGraph, LangChain, Agentic AI development.
- Strong JavaScript/TypeScript and working knowledge of Java; Spring Boot is optional.
- Hands-on experience developing 2+ AI agents using LangGraph, LangChain, Semantic Kernel, or similar frameworks.
- Experience with OpenAI, Claude, Gemini, or similar LLMs.
- Prompt Engineering, Tool/Function Calling, Multi-Agent Orchestration, RAG, and Vector Databases (Pinecone, pgvector, Weaviate, ChromaDB, FAISS).
- REST APIs, Microservices, Event-Driven Architecture, Docker, Kubernetes, and Git.
- Experience integrating AI agents with enterprise applications, including Java/Spring Boot microservices.
Key Responsibilities
- Design, develop, and deploy production-grade AI agents using Python, LangGraph, and LangChain.
- Build multi-agent workflows, RAG pipelines, tool integrations, and LLM-based solutions.
- Develop AI services/APIs using Python and JavaScript/TypeScript.
- Integrate AI agents with Java/Spring Boot microservices through REST APIs and event-driven architectures.
- Implement prompt engineering, agent memory, tool calling, and orchestration.
- Deliver scalable, reliable AI solutions supporting customer journeys on aa.com.
Nice-to-Have Skills
- MCP (Model Context Protocol) and AI tool integrations.
- Agent evaluation, tracing, and observability.
- Production AI applications at enterprise scale.
- Airline or travel industry experience.
Thanks & Regards,
Simran Yadav
Associate – Talent Acquisition
KAnand Corporation
Email:
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