Artificial Intelligence Engineer

Location: Morgantown, WV (Onsite, 5 days/week) This is a full‑time, onsite role. The selected candidate must work from our Morgantown, WV office Monday through Friday. 

M&S (Management and Solutions) was conceived in 2002 with the vision of creating highly effective teams of elite consultants to deliver strategic process and technology solutions to enterprise organizations across the US. Our commitment to delivery in complex environments and long-term customer success has merged process and technology into innovative solutions, established deep pockets of expertise, and enabled innovative transformation for evolving businesses.

We have intentionally cultivated steady growth focused on being approachable and helpful to our dearly valued clients and closely cared-for employees. M&S people simply “care hard”, and this reflects in our work products, our interactions, and our culture.

We are looking for an AI‑obsessed builder who wants to move fast, ship real products, and help create next‑generation B2B SaaS and enterprise AI solutions. This is an onsite, in‑office role in Morgantown, WV, where close collaboration, rapid iteration, and hands‑on teamwork are essential.

This role is for someone who is not just “interested in AI,” but actively building with it every day. You should be the kind of person who has experimented with Claude Code, Cursor, MCP servers, agentic workflows, LLM APIs, RAG pipelines, AI copilots, prompt engineering, vector databases, workflow automation, and modern SaaS architecture because you genuinely cannot stop thinking about what is possible.

You will work across startup and enterprise environments, helping design, prototype, and deploy AI-powered products that solve real business problems. This is a high-speed role for someone who is smart, technical, creative, charming, and deeply team-oriented.

You will help build AI-native software products and solutions across areas like:

• B2B SaaS platforms

• Enterprise AI copilots

• LLM-powered workflow automation

• MCP servers and tool-calling systems

• Agentic applications

• RAG and knowledge retrieval systems

• AI-enabled enterprise workflows

• Internal productivity tools

You will be expected to rapidly turn ideas into working prototypes, then help harden those prototypes into production-ready systems.

• Build AI-powered applications using modern LLM stacks (Claude, OpenAI, Anthropic APIs, LangChain/LangGraph, Vercel AI SDK, vector DBs, agent frameworks).

• Develop MCP servers, AI tool integrations, workflow automations, and agentic systems.

• Design scalable SaaS applications using TypeScript, React, Next.js, Node.js, Python, FastAPI, PostgreSQL, Supabase, AWS, serverless infra.

• Build reliable RAG pipelines including ingestion, chunking, metadata, retrieval optimization, evaluation, grounding.

• Create polished AI interfaces with strong product sense.

• Prototype quickly, test aggressively, iterate based on feedback.

• Work with founders, enterprise customers, engineers, designers, and business leaders.

• Help define architecture for secure, scalable, enterprise-grade AI systems.

• Evaluate and integrate emerging AI tools, frameworks, and workflows.

• Write clean, maintainable code while moving with urgency.

• Bring energy, creativity, and intensity to every project.

• Maintain a full-time onsite presence in the Morgantown, WV office to support rapid collaboration and high‑bandwidth teamwork.

• Must be able to obtain a Secret Clearance.