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Senior AI Engineer Agentic Systems

  • Texas, Plano

  • 08/21/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    We are seeking a Senior AI Engineer to design and build production-grade agentic systems for customer-facing use cases. This role will focus on developing reliable AI agents capable of multi-turn conversation, tool calling, retrieval, escalation, and human handoff within a regulated, high-trust environment. The ideal candidate will have proven experience shipping LLM-based agentic systems to production and strong expertise across Python, Java, LangChain, LangGraph, RAG, model serving, evaluation, and distributed systems.

    Key Responsibilities
    • Design and build production agentic workflows for customer-facing use cases, including multi-turn conversation, tool calling, retrieval, escalation, and human handoff.
    • Own agent orchestration end to end using LangGraph, LangChain, or equivalent frameworks, including state management, guardrails, and failure recovery.
    • Integrate agents with core service layers, including Java/Spring microservices, APIs, and event streams.
    • Build and tune evaluation loops, including automated evaluations, regression suites, trace analysis, and A/B measurement of agent quality.
    • Work on inference and serving layers, including model routing, prompt and context management, and self-hosted serving with vLLM alongside commercial LLM APIs.
    • Implement solutions for regulated, high-trust environments, including PII handling, auditability, deterministic fallbacks, and observability.

    Required Qualifications
    • 12+ years of software engineering experience, with senior or lead-level ownership of production systems.
    • Proven hands-on experience delivering LLM-based agentic systems in production, including the ability to explain architecture, failure modes, and evaluation strategies for shipped systems.
    • Strong Python experience as a primary agent and ML development language and Java experience for service integration.
    • Advanced experience with LangChain, LangGraph, prompt and context engineering, tool/function calling, and RAG pipelines.
    • Working knowledge of PyTorch and model fundamentals, including the ability to fine-tune models, debug model behavior, and evaluate technical tradeoffs.
    • Experience with LLM serving and inference using vLLM or comparable technologies such as TGI or TensorRT-LLM.
    • Experience working with commercial LLM APIs such as OpenAI, Anthropic, Bedrock, or Vertex.
    • Strong distributed systems fundamentals, including APIs, queues, caching, observability, CI/CD, and production engineering practices.
    • Advanced experience with GenAI prompt engineering.
    • Advanced experience with OpenAI engineering.
    • Advanced experience with testing, DevOps, and CI/CD practices.

    Preferred Qualifications
    • Hands-on experience with agent-builder platforms such as Sierra or Decagon, including deploying, extending, or evaluating platforms for customer-service use cases.
    • Experience with voice agents, real-time or streaming inference, or contact-center integrations.
    • Experience working in regulated industries such as finance or healthcare, including model risk, compliance review, and audit trails.
    • Experience with evaluation frameworks such as LangSmith, Braintrust, or custom evaluation harnesses.
    • Experience with LLM safety and guardrail tooling.

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