Artificial Intelligence Engineer

M&S Consulting•Morgantown, WV

About The Position

M&S (which stands for 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. AI Development Engineer / AI Solutions Builder 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 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.

Requirements

AI-obsessed: You are constantly experimenting with new models, tools, agents, copilots, and AI development workflows. You probably already have side projects, demos, or prototypes you have built just because you were curious.
Fast and tenacious: You move quickly, figure things out, and do not get stuck waiting for perfect instructions. You can go from vague idea to working demo fast.
Technically sharp: You understand software architecture, APIs, databases, cloud infrastructure, frontend/backend development, and how modern AI systems are actually built.
Design-minded: You care about how things look and feel. You can tell when a product feels clunky, and you have the taste to make AI experiences feel simple, polished, and powerful.
Charming and high-trust: You communicate well with technical and non-technical people. Customers, teammates, founders, and executives enjoy working with you.
An excellent teammate: You are loyal to the mission, raise the bar around you, and make everyone faster and better. You bring intensity without ego.
Smart
Curious
Fast
Intense
Scrappy
Creative
Reliable
Clear in communication
Obsessed with AI
Excited by hard problems
Comfortable with ambiguity
Energized by startups and enterprise transformation
Proud to be part of a high-performance team

Nice To Haves

Claude Code, Cursor, GitHub Copilot, Replit Agent, or other AI-native coding tools
MCP server development
LLM tool calling and function calling
OpenAI, Anthropic, Gemini, or open-source model APIs
RAG systems, embeddings, vector search, and retrieval evaluation
LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks
TypeScript, React, Next.js, Node.js, Python, FastAPI
PostgreSQL, Supabase, Pinecone, Weaviate, Qdrant, pgvector, or Elasticsearch
AWS, Azure, GCP, Docker, serverless infrastructure, CI/CD
Enterprise integrations, APIs, CRM systems, EHR systems, government systems, or workflow automation platforms
Multi-tenant SaaS architecture
Security, privacy, RBAC, audit logs, and compliance-aware engineering
UI/UX design, Figma, product prototyping, or frontend polish
Shipped AI products into production.
Built internal copilots, enterprise assistants, or workflow automation tools.
Experience with healthcare, government, finance, CRM, or regulated enterprise environments.
Built startup MVPs from scratch.
Strong opinions on what makes AI products actually useful rather than gimmicky.
A portfolio, GitHub, demos, or shipped products that show taste, speed, and technical depth.

Responsibilities

Build AI-powered applications using modern LLM stacks, including tools such as Claude, OpenAI, Anthropic APIs, LangChain/LangGraph, Vercel AI SDK, vector databases, embeddings, and agent frameworks.
Develop and maintain MCP servers, AI tool integrations, workflow automations, and agentic systems that connect LLMs to real enterprise data and actions.
Design clean, scalable SaaS applications using modern web technologies such as TypeScript, React, Next.js, Node.js, Python, FastAPI, PostgreSQL, Supabase, AWS, and serverless/cloud infrastructure.
Build reliable RAG pipelines, including document ingestion, chunking, metadata strategy, retrieval optimization, evaluation, and response grounding.
Create AI interfaces with strong product sense and excellent design taste.
Prototype quickly, test aggressively, and iterate based on user feedback.
Work with startup founders, enterprise customers, engineers, designers, and business leaders to translate messy problems into elegant technical solutions.
Help define architecture for secure, scalable, enterprise-grade AI systems.
Evaluate and integrate emerging AI tools, frameworks, models, and development workflows.
Write clean, maintainable code while moving with urgency.
Bring energy, creativity, and intensity to every project.