Forward Deployed Engineer

We are seeking a hands-on Forward Deployed Engineer to join a client-facing AI engineering team in Frisco, Texas. This person will work directly with business and technical stakeholders to turn real operational problems into production-ready AI solutions.

You will analyze existing workflows, identify where generative AI can improve decisions and user experiences, and build the systems that make those solutions work in practice. This is not a research-only role: you will design and implement LLM, RAG, and agentic workflows; integrate them with enterprise applications and data; validate their behavior; and support them through production.

This is a six-month contract-to-hire opportunity requiring three days per week onsite in Frisco.

Needed Experience Hands-on experience discovering, analyzing, and implementing AI-enabled workflows.

Experience building generative AI, LLM, RAG, AI agent, or intelligent‑assistant applications.

Experience with agentic workflow concepts such as orchestration, tool calling, APIs, state management, memory, routing, or human review.

Experience building APIs, backend services, data pipelines, microservices, or enterprise integrations.

Experience with tools or platforms such as Azure OpenAI, AWS Bedrock, OpenAI, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or comparable technologies.

Experience validating AI outputs, integrations, and workflow behavior in real-world scenarios.

Experience participating in Agile delivery and working directly with clients and cross-functional stakeholders.

Preferred Experience Building human-in-the-loop AI workflows with validation, approvals, and escalation paths.

Implementing evaluation or observability practices for LLM, RAG, or agentic applications.

Working in a forward-deployed, consulting, solutions engineering, software engineering, or data engineering environment.

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