Forward Deployed Engineer, Consultant

CopperPin; New Delhi; On-site; INR 600,000 - 900,000; Full time

Job summary

CopperPin is seeking an engineer to join a client-embedded deployment team in New Delhi, working on production AI systems. You will build features, measure workflows, and debug live traffic under a senior architect, with travel to client sites required.

The role emphasizes shipping outcomes, documentation clarity, and the ability to translate operator problems into engineering work. This is a full-time, on-site position in India.

Qualifications

• 1–3 years of software engineering experience with production code.
• Exposure to building with LLMs via coursework, side projects, or work.
• Able to adapt in messy client environments and unclear docs.

Responsibilities

• Build features and integrations for production AI systems under senior guidance.
• Instrument and measure a workflow's baseline before the build starts.
• Debug issues against live production traffic, not staging.
• Write documentation for the client's team to maintain what you built.
• Attend client meetings and translate operator problems into engineering scope.

Skills

Software engineering

LLMs exposure

Ambiguity tolerance

Delivery focus

Job description

Join a deployment team embedded inside a client's operation, writing production code against real systems from your first week under a senior engineer's architecture.

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

What you'll do

• Build features and integrations for production AI systems, under a senior engineer's architecture, against the client's real stack
• Help instrument and measure a workflow's baseline before the build starts
• Debug issues against live production traffic — not a staging environment nobody trusts
• Write documentation clear enough that the client's team can maintain what you built
• Sit in client meetings and learn to translate operator problems into engineering scope

What we look for

• 1–3 years of software engineering experience, with real code shipped to production
• Some exposure to building with LLMs — coursework, side projects, or professional work all count
• Comfort with ambiguity: client environments are messy, and the workflow rarely matches the documentation
• A bias toward shipping over polishing — we measure outcomes, not elegance

Important: This role is client-embedded and requires travel to client sites as deployments require. It is not a remote engineering role.