Design, develop, and deploy AI/ML solutions using LangChain, LangGraph, LangSmith, and LLM orchestration. Collaborate with product owners and senior leadership to drive innovation. Work in a fully remote environment with a proactive and self-directed team.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Full‑Stack AI/ML Engineer
Client: Veterans United Home Loans
Location: 100% Remote (U.S.-based only)
🎯 What We’re Looking For
AI / LLM Expertise Required:
- Hands‑on experience with: LangChain, LangGraph, LangSmith, vector search, embeddings, LLM orchestration
- Understanding of agentic architectures (bonus: multi‑agent systems)
- Prompt engineering + chatbot frameworks
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Engineering Foundation (Must‑Have):
- Strong software development background: Python, C#/.NET, Angular/TypeScript (C#/.Net would be Ideal)
- Solid software engineering practices: API‑first design, clean code, microservices, domain‑driven design
- Experience building production‑ready systems end‑to‑end
- Data, Cloud, & Infrastructure Tools: SQL, MongoDB, Redis, GitHub, Azure
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Cultural Must‑Haves
From our conversations with the hiring leaders, success at clients hinges on:
- Highly proactive, self‑directed problem solvers (don’t wait to be told what to do)
- Strong communicators who explain why they made technical decisions
- Extremely collaborative; heavy camera‑on culture
- Treat remote work like in‑office (available 8–5 CT, responsive, present)
- Ability to jump into new domains and pivot quickly
- Comfortable working directly with product owners & senior leadership
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