Overview You’ll be one of the first engineers on Neumo’s AI team, building the infrastructure and agentic systems that power AI adoption across the entire organization. The work spans three areas: AI Infrastructure, Rapid Skill Creation, and Staying Current. AI Infrastructure – Build and maintain the engines that make AI work at Neumo: implementation engine, AI‑augmented SDLC tooling, agentic workflow orchestration, and integration with Platform services. Rapid Skill Creation – Drop into business processes, build AI‑powered skills and automations, and hand them off to non‑technical people so they can maintain and extend them without engineering involvement. Staying Current – Continuously test new tools, models, frameworks, and patterns, and bring what works back to the team for others to use. Responsibilities Design and implement safety, isolation, and governance controls for agents running in production. Build orchestration pipelines using n8n, LangGraph, or similar frameworks. Create reusable automation patterns for other teams to adopt independently. Rapidly prototype AI solutions for business processes (support triage, document processing, configuration automation, SDLC workflows). Write effective prompts and prompt chains for complex multi‑step tasks. Optimize cost, latency, and accuracy across LLM providers. Contribute to the AI‑augmented SDLC: coding assistants, automated testing, deployment automation, ticket quality validation. Hand off completed skills and automations to non‑technical operators with clear documentation. Requirements 3+ years of software engineering experience, building and shipping production systems. Degree in AI, ML, or data science (or equivalent demonstrated experience). Hands‑on experience building applications that integrate with LLMs (prompt engineering, API integration, structured output parsing). Experience with agentic patterns: tool use, multi‑step reasoning, human‑in‑the‑loop workflows. Experience with cloud platforms (AWS preferred). Experience with agentic orchestration frameworks such as LangGraph, n8n, Crew AI, or similar. Experience with RAG architectures (vector databases, document chunking, retrieval optimization). Experience with Claude, Cursor, or similar AI‑assisted development tools. Experience building systems that non‑technical users operate and maintain. Experience mapping end‑to‑end business processes and identifying steps suitable for automation versus those requiring human judgment. ML/model training experience (though LLMs are used as services). Government or gov‑tech experience. Skills and Abilities Strong fundamentals in at least one backend language (Node.js preferred, Python also valued). Comfort working across the stack when needed (APIs, databases, cloud infrastructure, basic frontend). Strong communication skills, both written and verbal; regular collaboration with non‑technical stakeholders. Ability to learn new tools and frameworks quickly; the landscape changes frequently. Familiarity with MCP (Model Context Protocol) or similar LLM connectivity patterns. Understanding of LLM cost optimization (model selection, caching, prompt efficiency). Work Environment Office setting with a moderate noise level. Employee works at an individual workstation, using a telephone and computer. Physical Demands Must be able to remain seated for extended periods. Regular use of a computer and office machinery such as printers and copy machines. Occasional movement around the office. Frequent communication via telephone. Equal Opportunity Employer Neumo is an Equal Opportunity Employer. Selection for a position will be made without regard to race, religion, national origin, sex, political affiliation, marital status, non‑disqualifying physical handicap, and age. #J-18808-Ljbffr