Artificial Intelligence Engineer

AI Development Engineer / AI Solutions Builder 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. What You’ll Do 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 CRM, operations, healthcare, government, and enterprise workflows Internal tools that make teams faster, smarter, and more productive 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. What We’re Looking For AI‑obsessed – constantly experimenting with new models, tools, agents, copilots, and AI development workflows, and building side projects or prototypes driven by curiosity. Fast and tenacious – move quickly, figure things out, not stalled by waiting for perfect instructions, and translate vague ideas into working demos. Technically sharp – understand software architecture, APIs, databases, cloud infrastructure, frontend/backend development, and how modern AI systems are built. Design‑minded – care about how things look and feel, capable of refining clunky products into simple, polished, and powerful AI experiences. Charming and high‑trust – communicate well with technical and non‑technical people, and build strong relationships with customers, teammates, founders, and executives. An excellent teammate – loyal to the mission, raising the bar around you, and delivering intensity without ego. Ideal Experience 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 Hunger to learn quickly and stay ahead of emerging tools Bonus Points 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 making AI products useful rather than gimmicky Portfolio, GitHub, demos, or shipped products that demonstrate taste, speed, and technical depth Personality Fit 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 Think fast, build fast, communicate clearly, and keep going when things are hard Why This Role Matters AI is changing how companies operate, sell, support customers, manage workflows, analyze data, and make decisions. We are building the systems that bring that future into real organizations. This is not a slow corporate innovation role. This is hands‑on, high‑output AI development across real products, real customers, and real enterprise problems. We want someone who wants to be on the frontier, building the tools, agents, copilots, and SaaS platforms that define the next decade of work. #J-18808-Ljbffr