Specialty Software Engineer

Company: S3
Location: Saint Louis
Posted on: April 1, 2026

Job Description:

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING! 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. “Beware of scams. S3 never asks for money during its onboarding process.” 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.

Keywords: S3, St. Louis , Specialty Software Engineer, IT / Software / Systems , Saint Louis, Missouri