https://www.getclientell.com/careers/forward-deployed-engineer
Services team, Clientell AI - India Office, HSR Layout, Bangalore (in office, full time)
You won’t ship into a backlog. You’ll sit across the table from the client and ship the fix before the meeting ends.
About Clientell AI (same block as above)
About this role We build AI agents on top of Salesforce, HubSpot, and whatever other CRM or ERP stack a client runs. Agents that do the work, not agents that tell someone what to click. Someone has to go sit with the client, understand their actual workflow, and build the thing that fits their business rather than a generic version of it.
That’s a Forward Deployed Engineer. You embed with the account, build fast, and own it until it works in production and keeps working.
What you’ll actually do
Sit with a client’s team, watch how they actually work, and figure out what to build before you write code
Build and ship AI agents that plug into Salesforce, HubSpot, and whatever else the client runs
Own the full loop: prototype, harden, deploy, and carry the pager for what you shipped
Build the evals. If you can’t measure whether the agent is right, you haven’t shipped it, you’ve demoed it
Instrument what you ship: traces, failure logs, a way to know it broke before the client tells you it broke
Work with our Salesforce Consultants so the agent understands the org it lives in
Turn a vague complaint into a working demo fast, then decide what’s actually worth hardening
Make judgment calls with incomplete information, and be able to explain them afterward
What makes you a fit
You can actually build: Python or JavaScript, real API work, and enough command of LLMs and agent tooling that wiring an agent into a live system isn’t foreign territory
You’ve put something with an LLM in it in front of real users, and you know exactly what it got wrong
You can read Salesforce’s REST and Bulk API docs and get a call working without hand-holding. You don’t need to be a Salesforce developer, you do need to not be lost
You’d rather ship something rough in front of a client today than something polished in front of nobody next month
You’re comfortable being dropped into a mess with no spec
You debug like it’s personal
Realistically this fits someone zero to three years out, and we care far more about what you’ve shipped than when you graduated. If you’re further along and the band still works for you, apply anyway and tell us why
Use AI like you mean it This matters more here than almost anywhere. “I use ChatGPT sometimes” won’t cut it. Bring an agent or an automation you built. Two minutes, screen shared. We’ll ask how you knew it was working, and what happened the first time it wasn’t.
Even better if
You know Salesforce as an admin, a developer, or in any application-level role, enough that you’re not lost inside someone else’s org
You’ve sold or pitched anything to anyone
What it’s actually like here Some weeks are heavier than others. You fix something live in the middle of a demo, a deploy slips late, a build gets thrown out and redone. When that happens everyone shows up. The rest of the time we don’t perform busyness. If you want work that stops moving at 6pm every day regardless of what’s in production, this will annoy you.
You’ll carry the pager for what you ship. On-call is shared across the team, not dumped on whoever joined last, and we agree the terms with you before you go on the rotation.
What you get in return: real ownership from week one, your work in front of enterprise clients within the first month, and no layer between you and the person using what you built.
How we’re hiring for this We’re also hiring a Solutions Consultant and a Salesforce Consultant right now. One application, one process. If you turn out to be the engineer who’s unusually good with people, we may point you at a more client-facing track, and we’ll tell you why after the first call.
Interview process
Thirty minutes with the hiring manager: role fit, your AI demo, your questions
A two-hour build session: a real problem, your own machine, your own tools, AI included. We care about how you get to something working and how you’d know if it stopped working
A conversation with the founder, we name the accounts, you meet the people you’d work with
We aim to close this in under two weeks from the first call. If we pass, you’ll hear why.
Compensation and logistics ₹7-12 LPA. If you’re clearly better than the top of that band, tell us and we’ll have that conversation. ESOP. Health insurance. First comp review at six months, not twelve. Full time, in office, HSR Layout, Bangalore. Not remote, our delivery model depends on people overhearing each other’s client calls. US client travel possible, visa dependent.
Pay: ₹700,000.00 - ₹1,200,000.00 per year
Work Location: In person
