Senior Forward Deployed Engineer
Embed inside a client's operation and build the production AI system that automates their workflow — architecture calls, integration, and go-live, end to end.
Deployments run eight to sixteen weeks. You'll typically run one at a time, end to end: baseline measurement, build, production rollout, handover.
Why CopperPin
Every deployment ends with a number that moved, not a slide that got presented. You'll work across industries — financial services, manufacturing, retail, insurance — and own real production systems, not internal tooling nobody uses.
What you'll do
- 01Build production AI systems directly on a client's existing infrastructure — their cloud, their data stores, their auth, no exceptions
- 02Measure the baseline yourself before writing a line of the system, and hold the deployment to that number
- 03Integrate against enterprise systems that were not designed with AI in mind, and make it work anyway
- 04Run the system against live production traffic before calling it done — not a sandboxed demo
- 05Write the documentation and runbooks the client's team uses after you leave
What we look for
5+ years shipping production software, ideally with integration experience against legacy or enterprise systems- Practical experience building with LLMs beyond a prototype — evaluation, guardrails, latency and cost tradeoffs in a live system
- Comfort being dropped into an unfamiliar codebase and operation and becoming productive fast
- Directness — you'll need to tell a client's VP their process is the actual bottleneck, not the model
Important
This role is client-embedded and requires regular travel to client sites across the engagement regions. It is not a remote engineering role.
How to apply
Email your resume and a short note on why this role fits you to business@copperpin.io.