Specialty Software Engineer

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This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

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Job Title: Specialty Software Engineer
Must be local to: ST LOUIS, MO 63131
Contract Length: 12+ Months

Job ref# 244662

We are seeking a technically strong Generative AI Engineer with hands-on experience designing, building, and evaluating GenAI agents. This role focuses on agent orchestration, prompt engineering, and evaluation frameworks rather than traditional model training. The ideal candidate has practical experience working with modern GenAI tooling and frameworks to deliver intelligent, reliable AI-driven workflows.

Key Responsibilities

• Design, build, and maintain Generative AI agents to support business and technical use cases.
• Develop and optimize prompt engineering strategies to improve response accuracy, consistency, and relevance.
• Implement agent orchestration frameworks such as LangGraph, LangChain, or similar tooling.
• Build and manage multi-agent and agent-to-agent (A2A) interactions.
• Integrate Model Context Protocol (MCP) or comparable context-handling frameworks.
• Conduct evaluations of GenAI systems, including prompt effectiveness, agent performance, reliability, and output quality.
• Collaborate with engineering and product stakeholders to translate requirements into GenAI-enabled solutions.
• Document designs, workflows, and evaluation results to support maintainability and knowledge sharing.

Required Skills & Experience

• Hands-on experience with Generative AI systems and agent-based architectures.
• Strong prompt engineering experience for LLM-based applications.
• Practical experience using:


• LangGraph
• LangChain
• ADK (or comparable agent development kits)


• Experience building GenAI agents, including multi-step or multi-agent workflows.
• Familiarity with GenAI evaluation techniques, including qualitative and quantitative assessments.
• Ability to reason about LLM behavior, limitations, and failure modes.

Preferred / Nice-to-Have Skills

• Experience with MCP, A2A, or similar agent communication and context-sharing patterns.
• Exposure to LLM observability, monitoring, or testing frameworks.
• Experience integrating GenAI agents into existing applications or APIs.
• Strong documentation and communication skills.

Work Style & Expectations

• Comfortable working with loosely defined requirements.
• Able to prototype quickly and iterate based on feedback.
• Detail-oriented with a focus on correctness, reliability, and explainability.
• Collaborative mindset with the ability to work independently when needed.