Sarvam is hiring 100+. So are Palantir, OpenAI, Anthropic, and a wave of AI startups. Most engineers don't even know this role exists.
I work alongside FDEs and interview candidates for these roles. This is the hiring side's perspective — not theory.
You're dropped into the customer's world with a raw AI platform and one job: make it solve their actual problem. You gather the messy requirements, build the integrations, and ship — fast. Part engineer, part consultant, part founder-in-the-field. Get it right and you're the reason a seven-figure account signs. That leverage is why FDEs get paid like it.
// companies hiring forward-deployed & deployment engineers
What the role is, why it's hot, and the 3 traits companies screen for — straight from the hiring side.
No spam. The guide + occasional field notes.
Understand the game. What interviewers actually evaluate, the top rejection reasons, resume before→after templates, run-books for the take-home and client role-play, and a 30-day prep plan.
Get the playbook →Practice the game. 60 real questions with model answers — runtime fundamentals, the AI/LLM layer (RAG, hallucinations, evals), system design, client role-plays, and behaviorals — each with what the interviewer is listening for.
Get the question bank →The complete program to go from "interested" to hired FDE — self-paced recorded lessons, a real capstone project, and interview prep for every stage.
Coming soonWhat the role demands and how top AI companies actually run their hiring loops.
Deploy an AI product against a realistic customer brief — the exact work you'd do on the job, and a portfolio piece to show.
Prep for every stage — technical build, customer/communication round, and ambiguity questions — with what interviewers score.
Reframe the work you've already done so your resume and stories read as FDE-ready.
The mental models good FDEs use to scope, build, and win trust — from someone on the hiring side.
Recorded lessons you work through on your schedule. Early-access members keep every future update.
// the honest breakdown — from someone who interviews for these roles
It's not a normal backend engineer who happens to talk to customers occasionally. It is an engineer who is deployed forward — to the customer. Your job is to take a powerful-but-raw AI product and make it solve a specific customer's real problem:
Think: part engineer, part consultant, part founder-in-the-field. It isn't pure sales, it isn't support, and it isn't a place to hide from customers — being customer-facing is the job.
AI products are powerful but generic. Enterprises don't want generic — they want their problem solved. The FDE is how AI companies bridge that gap, and one strong FDE can be the difference between winning and losing a big enterprise account.
You context-switch constantly. If you like only deep solo coding, this may not be for you. If you like building things people immediately use — it's the best seat in the house.
That's the what. Want the how to actually get hired?
Get the full playbook — ₹199 See the full course (soon) →The role every AI company suddenly wants — explained without the buzzwords. What FDEs actually do, why the demand exploded, and how it differs from a normal software engineer.
Read the guide →Almost nobody has "FDE experience" — the title is too new. How to get hired anyway, by reframing the engineering you've already done.
Read the guide →What FDE interviews actually score, the common reasons strong candidates get rejected, and how to position experience you already have.
Read the guide →Start with the free guide — what the role is, why it's hot, and the 3 traits companies screen for. Straight from the hiring side.