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HeartCentrix Solutions Linkedin · Posted 17d ago

Senior AI Engineer

Dallas-Fort Worth Metroplex

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Indexed description

We’re looking for a Senior AI Engineer who can build production-ready AI agents that connect with enterprise applications and support multiple customer journeys on aa.com.

This is a hands-on engineering role. You’ll be working with Python and JavaScript/TypeScript and using modern AI agent frameworks like LangGraph and LangChain. You’ll also be involved in architecture and design and help lead a small team of 3–4 engineers by providing technical direction and guidance.


What You’ll Be Doing

  • Design and build AI agents using LangGraph, LangChain, or similar agent frameworks.
  • Build multi-agent workflows, tool integrations, and RAG solutions.
  • Develop AI services and APIs using Python and JavaScript/TypeScript.
  • Connect AI agents with Java/Spring Boot microservices through REST APIs and event-driven architectures.
  • Work with prompts, tool/function calling, memory, and agent orchestration.
  • Build scalable, reliable AI applications that are ready for production.
  • Help with architecture and technical design decisions.
  • Provide technical direction and mentorship to a team of 3–4 engineers.
  • Integrate AI solutions with existing enterprise applications and services.
  • Work with LLMs such as OpenAI, Claude, Gemini, or similar platforms.


What We’re Looking For

  • 9+ years of overall experience.
  • 5+ years of software development experience.
  • 2+ years of hands-on Agentic AI development.
  • Strong hands-on experience building AI agents with LangGraph, LangChain, Semantic Kernel, or similar frameworks.
  • Strong Python skills — this is a must-have.
  • Strong JavaScript/TypeScript experience.
  • Experience with Java and a good understanding of Spring Boot.
  • Strong understanding of microservices, distributed systems, REST APIs, and event-driven architecture.
  • Experience with prompt engineering, tool/function calling, agent orchestration, and LLM workflows.
  • Experience building RAG solutions and working with vector databases.
  • Experience integrating AI applications with enterprise systems.


Technical Skills

Required:

  • Python
  • LangGraph
  • LangChain
  • JavaScript/TypeScript
  • Agentic AI development
  • Prompt engineering
  • Tool/function calling
  • RAG
  • REST APIs
  • Microservices
  • LLMs — OpenAI, Claude, Gemini, or similar
  • Git


Experience with:

  • Java
  • Spring Boot
  • Docker
  • Kubernetes
  • Vector databases such as Pinecone, pgvector, Weaviate, ChromaDB, FAISS, or similar
  • Event-driven architectures


Nice to Have

  • MCP (Model Context Protocol) or other AI tool integrations.
  • Experience with AI agent evaluation, tracing, and observability.
  • Experience building production AI applications at scale.
  • Airline or travel industry experience.


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