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Forward Deployed Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Gravity Engineering Services Pvt Ltd.
Full Time position
Listed on 2026-06-06
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 USD Yearly USD 180000.00 YEAR
Job Description & How to Apply Below
Location: New York

About the Role

At Tenex, Strategists scope and prioritize the bets. Forward Deployed Engineers make them real. You are the engineer who walks into a client codebase and ships the AI workflow that changes how thousands of people do their job. The plan becomes the running system because you built it. You work close to the problem and close to the client. Architecture decisions are yours.

The code is yours. The credit and the consequences are yours. You partner with Strategists to choose the right bets, with client engineering teams to ship inside their stack, and with the latest agentic coding tools to move at speeds that weren't possible a year ago. The bar for the work is that it ships and it lands. Demos don't count.

Prototypes that never make it to production don't count. What counts is the workflow running on Monday morning when nobody from Tenex is in the room, the business outcome it drives, and the story the client tells about what changed. Compensation reflects this. Your base is guaranteed, your variable pay is uncapped, and your throughput is measured directly. Engineers in good standing make significantly more than base.

You'll work alongside AI Strategists, Solution Architects, and our partner teams at Anthropic, OpenAI, Vercel, and beyond. Plan on traveling to client sites about once a month.

What You'll Do
  • Own features end-to-end
    . Architecture, implementation, deploy, the relationship with the client engineer reviewing your PR. Nothing gets handed off
  • Use every agentic coding tool that gives you leverage. Claude Code, Codex, Cursor, whatever ships next week. Your throughput is measured and your pay scales with it
  • Ramp into unfamiliar codebases. Sometimes a Fortune 500 monolith in a language you haven't touched in years. Sometimes a stack that was built last quarter. You get productive without a lot of hand-holding
  • Design agent systems that are reliable, auditable, and keep humans in the loop where they belong. The work has to run when nobody from Tenex is in the room
  • Make the team better. The workflow refinements you discover on one engagement get adopted across every other engagement. Your wins compound across the firm
What You'll Bring
  • 3 to 8 years building and shipping production software end-to-end
    , with a track record of turning complex problems into clean, scalable systems
  • AI as a core part of how you work
    . You use agentic coding tools to raise the quality and the throughput of everything you ship
  • Intellectual curiosity and range. You track how the AI landscape evolves (new models, new tools, new techniques) and you bring what you learn back to the team
  • Operational discipline. You manage parallel work streams across multiple clients without losing clarity or quality. You prioritize well, context-switch cleanly, and sustain output over time
  • Collaborative rigor. You hold yourself and others to a high standard, contribute actively to team knowledge, and make the people around you more effective
Bonus Points
  • Public artifacts of your work: open source contributions, a side project people use, a blog post or talk on applied AI engineering that landed
  • Experience shipping a production agentic system end-to-end (not a POC)
Compensation

This role has uncapped cash compensation
. The guaranteed base is $180,000
, and engineers in good standing make significantly more than that in quarterly bonuses. Variable pay scales directly with output. The quarterly quota is 562.5 story points
, and every story point delivered above quota is paid out at $80 per point in quarterly payouts. When determining compensation, we consider job-related knowledge, skills, and experience.

Our Workplace

We work in person from our New York City office five days a week. The best ideas come from being in the same room. Faster collaboration, real-time problem solving, stronger relationships, sharper execution.

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