Engineering Lead
Engineering Lead at Infer — Bengaluru, KA, IN
- Company: Infer
- Location: Bengaluru, KA, IN
- Employment type: FULL_TIME
- Salary: USD 4000000–6000000 / year
- Posted: 2026-07-17
About this role
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