Generative AI Engineer (India)

Generative AI Engineer (India)

11 Oct
|
100x®
|
India

11 Oct

100x®

India

Read This Before You Apply:

Don’t join 100x unless you’re an owner.

If you’re self-obsessed instead of customer-obsessed, don’t join 100x.

If you’re okay with not achieving 100% of your potential, don’t join 100x.

If you can’t make decisions and keep debating minutiae, don’t join 100x.

If you chase praise but run from accountability, don’t join 100x.

If you dislike freedom and hate responsibility, don’t join 100x.

If you’re craving a comfortable 9–5 job, don’t join 100x.

If you wait to know everything before you start contributing, don’t join 100x.

If you can’t work with customers across US Eastern and Pacific time zones, don’t join 100x.

If you want to grow 10%, not 100x, don’t join 100x.

But if you’re ready to think and act like a co-owner - welcome home.

100x is for engineers who take ownership of customer outcomes. You’ll build automated workflows and AI agents that help existing mortgage teams 100x their productivity.

About 100x

We exclusively serve the mortgage industry. We work alongside our customers to understand their operations, identify bottlenecks, and ship automation that gives their teams 100x more capacity.

Our workflows and agents help teams:

- Collect, check, and organize borrower documents.
- Prepare loan files and supporting evidence for underwriting review.
- Automate borrower follow-ups, updates, and servicing conversations.
- Connect systems and reduce repetitive work across the mortgage lifecycle.

Our dedicated engineering pods build around each customer’s systems, rules, and processes,



with human judgment and exception handling built into the workflow.

Your First 90 Days

You’ll be deployed on a mortgage client engagement as part of a dedicated pod, working alongside engineers, domain experts, and client stakeholders.

You will

- Understand the client’s operations: Learn their workflows, systems, and pain points directly from the people doing the work.
- Own a scoped problem: Help define the workflow, establish a baseline, and agree on measurable success criteria with your pod and the client.
- Build and ship workflows and agents: Translate mortgage processes into working automation connected to the client’s tools and data.
- Make your work production-ready: Implement integrations, conversation history where needed, logging, monitoring, and appropriate human review and escalation.
- Deploy with real users: Test with client operators, address exceptions, and move your first major workflow into production within the engagement’s agreed scope.
- Improve through feedback: Release weekly, learn from real usage, and measure improvements in turnaround time, accuracy, manual effort, and team capacity.

You’ll own delivery from understanding the problem through deployment and iteration.



Shipping code is part of the job; making the workflow helpful to the client is the outcome.

Why This Role?

- Build workflows and agents used by real mortgage teams.
- Learn how mortgage operations work and how to improve them with AI.
- Work directly with Nik Shah and the engineering team.
- Take ownership of client outcomes early.
- Receive tangible stock ownership and revshare alongside your salary.
- See the impact of your work in the time you save and the capacity you create.

What We Expect

Degrees, years of experience, and tech buzzwords matter less than what you can build and deliver.

We’re looking for someone who:

- Learns fast and makes thoughtful decisions quickly.
- Understands the customer’s problem before choosing the technology.
- Builds reliable workflows, integrations, and AI agents.
- Communicates clearly with teammates and clients.
- Takes accountability for what happens after deployment.
- Knows shipping and customer outcomes are the résumé that matters.

You should be ready to work with clients across US Eastern and Pacific time zones. A valid US work visa is a plus.

Your interview will be conducted in 5 stages:

- Stage 1: At-home Assessment
- Stage 2: IQ + Analytical Round
- Stage 3: Behavioural Interview
- Stage 4: Interview with Captain
- Stage 5: Final Interview with the CEO

Comp band: ₹9.6–₹12 LPA (fixed base), exclusive of equity, performance bonus, and revenue share components.

If this sounds like the responsibility you want, apply.

📌 Generative AI Engineer (India)
🏢 100x®
📍 India

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