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Artificial Intelligence Engineer

  • Florida, Kissimmee

  • 08/18/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    We are seeking an Artificial Intelligence Engineer with strong experience building production-grade Python services and multi-agent LLM systems. The ideal candidate will have expert-level knowledge of asynchronous Python, FastAPI/ASGI, LLMOps, agent evaluation, and Google Cloud/Vertex AI. This role will focus on building scalable AI solutions, implementing agent orchestration and guardrails, and supporting production-grade observability, evaluation, and deployment practices.

    Key Responsibilities
    • Build and maintain production-grade Python services using asynchronous Python, FastAPI, and ASGI.
    • Design, develop, and deploy multi-agent LLM systems using technologies such as Google ADK, LangGraph, A2A, or comparable frameworks.
    • Implement agent tool use, orchestration, workflows, guardrails, and production-ready AI capabilities.
    • Develop and maintain LLMOps and agent evaluation processes using tools such as Phoenix/Arize, Vertex AI evaluation, and OpenTelemetry tracing.
    • Define and monitor AI quality, safety, performance, and evaluation metrics.
    • Design and implement AI solutions using Google Cloud Platform and Vertex AI, including search, retrieval, and model serving.
    • Develop prompt engineering strategies and structured-output schemas using Pydantic.
    • Build and support containerized services and production deployment environments.
    • Develop and maintain CI/CD pipelines using Harness or similar platforms.
    • Implement observability solutions for AI and cloud-native services at scale.
    • Design and implement RAG and vector search solutions as needed.
    • Support scalable MySQL database implementations and enterprise authentication using OAuth2 and scopes.
    • Contribute to MLOps experiment tracking and AI application lifecycle management.
    • Collaborate with engineering and architecture teams to define scalable and maintainable AI solutions.
    • Mentor engineers and contribute to technical architecture and engineering best practices.
    • Support modernization initiatives involving reactive technologies, including Java, Spring WebFlux, Project Reactor, and reactive programming patterns.

    Required Qualifications
    • Production experience building Python services.
    • Expert-level experience with asynchronous Python and FastAPI/ASGI.
    • Hands-on experience building multi-agent LLM systems using Google ADK, LangGraph, A2A, or comparable technologies.
    • Experience implementing LLM agent tool use, orchestration, and guardrails.
    • Proven experience with LLMOps and agent evaluation.
    • Experience with Phoenix/Arize, Vertex AI evaluation, OpenTelemetry tracing, or comparable evaluation and observability technologies.
    • Strong experience with Google Cloud Platform and Vertex AI, including search, retrieval, and model serving.
    • Production experience with containerized services.
    • Experience with CI/CD platforms such as Harness or similar tools.
    • Strong understanding of observability practices for production-scale services.
    • Experience with prompt engineering and structured-output/schema design using Pydantic.
    • Strong understanding of AI/ML application development and production deployment.

    Preferred Qualifications
    • Experience with RAG and vector search technologies.
    • Experience working with MySQL at scale.
    • Experience with enterprise authentication, including OAuth2 and scopes.
    • Experience with MLOps experiment tracking.
    • Experience with Java, Reactor, and reactive programming.
    • Experience with Spring WebFlux and Project Reactor.
    • Experience modernizing legacy Java applications and transitioning from traditional Spring Framework architectures to reactive microservices.
    • Experience mentoring engineering teams and providing architecture-level technical leadership.
    • Experience working in principal-level engineering or architecture roles.

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