Forward Deployed Engineer

Infer • San Francisco, CA

9d • Hybrid

About The Position

Infer is building the operating system for insurance agencies. We make AI agents (including voice agents) that handle the work agencies have always done by hand: qualifying inbound leads, helping producers during live calls, auditing calls after, running renewals, and bringing churned customers back. Our long bet is that AI eventually sells insurance directly. Agencies are the wedge because that is where the work, the data, and the customer relationships actually live. Get good there, and the rest follows. We are a YC company, ~$6M raised from YC, Stellaris Venture Partners, Ahead VC & others. Founders are: Vaibhav, Urvin and Suneel. Vaibhav was an architect and AI researcher (at Purdue) now a licensed insurance agent. Urvin worked at BCG, is a surfer with six pack abs. Suneel is an IITian and a philomath. A few reasons to join us: We like pushing each other on team to test the limits because that's when you rediscover yourself. We’re paranoid about making customers succeed (we challenge whats already good). We love people who question-challenge-build. We're highly transparent founders to work with & love getting challenged. Finally, we love people who’re interdisciplinary.

We're hiring our first US Forward Deployed Engineer to own customer deployments end to end. You'll work directly with insurance agencies, build integrations into the systems they already use, and turn messy real-world workflows into AI agents that work in production. Building an AI agent is only one part of the job. The harder part is making it work inside an agency's actual operating system. Some insurance systems have clean APIs. Some have outdated docs. Some have no API at all. You'll decide what to build, what to automate, what to work around, and what should become reusable for the next account. A lot of insurance work is not written down. It lives with the agency owner, the senior CSR, or the producer who has been doing it for 15 years. Your job is to extract that, turn it into system design, and ship it.

Requirements

• At least 2 years shipping production code.
• Fluent in Python.
• Comfortable with APIs and multiple systems talking to each other.
• Shipped at least one AI application to real users and know what it takes to make an LLM behave the same way on call 1,000 as on call 10.
• Designed evals that catch real regressions instead of producing a green checkmark on the wrong thing.
• Okay reading half-broken docs, reverse-engineering an undocumented endpoint, getting on a Zoom with a vendor's support engineer, and writing the runbook nobody else has written.
• Like talking to customers.
• Can hold a conversation with someone who has never heard of an API without losing them.
• Stay hands-on through go-live because the gap between what the product does today and what the customer needs is where the work is.
• Started something yourself, worked early at a startup, or owned ambiguous projects without a playbook.
• Move fast, make decisions with incomplete information, and are comfortable challenging the founders when we are wrong.

Nice To Haves

• Familiarity with voice or telephony stacks (Twilio, or similar) is a strong plus.

Responsibilities

• Own deployments from scope to go-live.
• Work with agency owners and ops leads, understanding how they actually run.
• Build connections into their existing systems.
• Get our AI agents handling real calls.
• Find the next thing we can take over inside the account.
• Extract tribal knowledge from an agency owner or senior CSR and turn it into a system design.
• Discover the need, build the solution, get it live, and make sure it's adopted.
• Spotting failure patterns across accounts and turning them into product fixes.
• Feeding fixes back into the platform so the same problem does not get solved twice.

Benefits

• $130K to $180K base salary + meaningful ESOPs
• Comprehensive health, dental, and vision insurance.
• In-office lunch and dinner.
• Travel covered when you're on site with customers, including flights, hotel, and rental car.
• Annual learning budget for books, courses, conferences.
• Reimburse monthly gym membership costs to support your health.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed