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Full-timeRemote — global

Forward Deployed Engineer

You ship AI systems directly on customer infrastructure. Not proof-of-concepts — production. You embed with clients, scope their actual problem, build and deploy a working solution, then hand it off and move on. You use the best AI tools available, because that's the whole point.

Role details

What you'll do

  • Use AI coding assistants (Claude Code, Cursor, Codex) to build, debug, and ship AI agents, RAG pipelines, and system integrations at high speed
  • Embed with clients to understand their workflows, scope requirements, and deliver production-ready AI solutions — not slides, not wireframes, running code
  • Build integration layers (MCP servers, API bridges) connecting LLMs to legacy systems, CRMs, and internal databases
  • Build evaluation frameworks, regression suites, and observability layers to catch hallucinations and data leaks before they hit production
  • Navigate enterprise reality: SSO, legacy systems, SOC 2 compliance, on-premise requirements — and feed hard-won product feedback back to our engineering team

You are

  • Proficient in Python and at least one of JavaScript, Go, or Java. Strong SQL fundamentals.
  • Hands-on with modern LLM APIs and agent frameworks (LangChain, LangGraph, or similar)
  • A demonstrated power-user of AI coding tools — you ship faster with them than most people ship without
  • Comfortable with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, and Docker
  • An exceptional communicator who can translate ambiguous business goals into working technical tasks
  • 0–3 years of professional experience, or equivalent demonstrated output

Nice to have

  • +You've shipped something real using AI tools as the primary implementation lever
  • +You've contributed to open-source AI tooling or written publicly about AI development
  • +Experience with Supabase, Fly.io, or Vercel for full-stack deployment

Why this role

This is a high-growth path where you learn by solving live customer problems at the frontier of AI deployment — not in a sandbox, not in a training program. You'll move fast, own outcomes, and build a track record that compounds.

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