Senior Forward Deployed Engineer

CopperPin; New Delhi; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

CopperPin is seeking a Senior Engineer to embed AI production systems inside a client's operations in New Delhi. You will own end-to-end delivery from architecture calls to go-live, traveling to client sites as required.

You'll ship production-grade software, integrate with legacy systems, measure baselines, and produce playbooks and documentation for the client's team to operate after handoff. This role is non-remote and requires close collaboration with client teams.

Qualifications

• 5+ years shipping production software.
• Experience integrating with enterprise systems.
• Live production deployment experience with AI systems.

Responsibilities

• Build production AI systems directly on a client's existing infrastructure.
• Measure the baseline yourself before deployment and hold the deployment to that number.
• Integrate against enterprise systems not designed for AI and make it work.
• Run the system against live production traffic before completion.
• Write documentation and runbooks for the client's team.

Skills

Production software

LLM development

Enterprise integration

Job description

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.

Engineering · New Delhi, India (client-embedded, travel required) · Full-time · Senior

What you'll do

• Build production AI systems directly on a client's existing infrastructure — their cloud, their data stores, their auth, no exceptions
• Measure the baseline yourself before writing a line of the system, and hold the deployment to that number
• Integrate against enterprise systems that were not designed with AI in mind, and make it work anyway
• Run the system against live production traffic before calling it done — not a sandboxed demo
• Write 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.