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
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
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
Similar Jobs
Explore other opportunities that match your interests