Level

Cursor

Forward Deployed Engineer - India

AI in this role

Forward Deployed Engineer to embed with customer teams to build, ship, and scale production-grade Cursor-powered AI coding workflows.

pythontypescriptjavascript
ai-native-workflowsprompt-engineeringproduction-reliabilitysystem-architecture

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

Forward Deployed Engineers embed directly with customer engineering teams to ship production-grade Cursor workflows that measurably improve how they build software.

You’ll figure out what’s actually slowing a team down, design a practical solution, and own it end-to-end, from first discovery call through launch, iteration, and post-production support. This is not a demo role. You are responsible for systems that work in the real world. This role will be based in all 3 cities: Bengaluru, New Delhi and Mumbai.

What you’ll do

  • Lead discovery with customer engineers to identify the real bottleneck and define clear success metrics

  • Design and build Cursor-powered workflows (e.g., large-scale refactors, migrations, PR review loops, incident → fix pipelines, spec → implementation systems)

  • Ship a fast first version in days, then harden it into something reliable over weeks with proper rollout plans, monitoring, and iteration based on real usage

  • Own production quality: tracing, evals, metrics, debugging model behavior, latency/cost tradeoffs, and failure modes

  • Work directly with Staff+/Platform/Eng leaders — going deep in code while also communicating clearly about tradeoffs and results

  • Turn what you build into reusable patterns and push improvements back into the core Cursor product

You may be a fit if

  • You thrive in ambiguity and can turn fuzzy problems into clear scopes and shipped systems

  • You’ve built and owned AI-native workflows in production, not just prototypes, and have debugged real-world model failures

  • You’re comfortable leading discovery conversations and being accountable for customer outcomes

  • You build end-to-end - if it needs frontend, backend, infra, or prompt iteration, you’ll own it

  • You’ve handled production reliability before (metrics, alerts, safe rollouts, incident response)

  • You’re strong in Python and TypeScript/JavaScript and can ramp quickly on new stacks

How we rate this

Forward Deployed Engineer - India at Cursor rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Native WorkflowsPrompt EngineeringProduction ReliabilitySystem ArchitecturePythonTypescriptJavascript

Questions you could be asked

  1. Tell me about a project where ai native workflows was part of your work. What did you do?
  2. How do you structure and test a prompt to get consistent output from a language model?
  3. Tell me about a project where production reliability was part of your work. What did you do?
  4. Tell me about a project where system architecture was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI Native Workflows, Prompt Engineering, Production Reliability, System Architecture, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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