Engineering Lead

About us

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 and have raised from Stellaris Venture partners and 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.

About the role

You take ownership of day-to-day engineering along with founder: architecture, code review, hiring, infra decisions, customer technical conversations.

IC-first role. You'll ship code, architect systems, and mentor engineers naturally. We're not hiring a manager, we're hiring the best technical leader we can find and letting leadership emerge through respect and technical excellence. You'll help scale the team of engineers without killing our speed.

What you'll do

• Own the architecture and codebase: lead integration of FDE (customer deployment) work back into production systems
• Make onboarding new engineers straightforward (going from 6 to 12 fast)
• Design and document architecture for custom integrations and deployments
• Set standards for code quality, async patterns, and streaming system reliability
• Operate as IC first write code that others learn from
• Mentor 1–2 engineers on projects as capacity allows
• Help define technical strategy
• Technical interviews, culture fit conversations, onboarding new engineers

Must-haves

• 5–10+ years shipping production systems that scale
• Deep experience with async/streaming systems (Python, Go, or similar)
• Shipped something where you felt the constraints
• Strong opinions on AI/LLM application architecture — streaming, state management, reliability
• Experience building or operating AI agent systems in production — orchestrating LLM calls, tool use, multi-step reasoning, or conversation flows that run autonomously
• Familiarity with agent evaluation and quality infrastructure — designing eval harnesses, benchmarking pipelines, regression testing for AI behaviour, or conversation quality scoring across deployments
• Architecture maturity — thinks about trade-offs, not best practices
• Comfortable with the full stack from infrastructure to application
• Evidence of technical leadership — mentoring, architecture decisions, earning respect through code
• Voice/audio systems or telephony experience
• Experience bringing structure to codebases
• Founded or early employee at a 10–50 person startup