Hunch is a dating app built for follow-through - designed to turn mutual interest into a real first date instead of another chat thread that fizzles out. Built for people tired of mindless swiping and commodified matchmaking, Hunch uses an AI matchmaker to cut the week of back-and-forth and get two interested people out of the app and into the same room.
Hunch is a Series A funded ($23 Million) startup building the future of social discovery in a post-AI world.
Link to our fundraising announcement
Interest Becomes a Plan: When both people want to meet, Hunch's AI matchmaker turns mutual interest into a confirmed date with a real time and place - no logistics to manage.
Built to Move: Chats close after seven days and users hold a few conversations at a time - nudges designed to get people out the door, not scrolling forever.
We believe in pushing boundaries, challenging the status quo, and embracing diversity of thought. You'll be building fast, smart, and with purpose — and we're looking for someone who can lead that charge both technically and culturally.
Own backend features end-to-end — product problem to API, schema, migration, tests, and deployment. TypeScript (Bun/Node, Prisma, Next.js) and Python (FastAPI, Pydantic, SQLAlchemy).
Ship LLM-backed product features — tool calling, structured outputs, grounding against real data, and the failure handling that keeps them sane in front of users.
Keep production legible — tracing, metrics, and alerts that fire only when action is needed. 5+ years building and running backend systems in production. TypeScript/Node + Python — strong in one, genuinely productive in the other. This isn't a 'Python nice-to-have' role.
Relational databases at depth:



Postgres or MySQL — schema design, migrations, indexing, and reading query plans to fix the slow ones.
Hands-on with AWS, Docker, and CI/CD.
Founding or product-engineer experience is a huge plus.
Engineering hygiene — writing tests with the change (not after), disciplined releases, and caring whether the metric actually moved.
Preferred Experience
ML Platform: Serving models behind APIs, vector retrieval (pgvector/FAISS), feature pipelines, and model versioning/rollout. LLM Application Engineering: Agent loops, tool calling, structured output, and evaluating output quality programmatically. Data at Scale: Redshift/BigQuery/Snowflake, and observability tools (OpenTelemetry, Datadog).
Domain Experience: Consumer social or dating products.
Competitive pay along with an annual performance-linked incentive (PLI).
Employee perks like Medical Insurance.
Hunch is a small team focused on shipping the parts of dating that usually stall - getting two interested people into the same room.
We have three, and they show up in how we hire, what we ship, and how we talk about the work:
No theater. if it is, ship it.
We make the call on what to ship, what to cut, and what doesn't belong in the product, even when it's the harder choice.
Curiosity - The best people here ask a lot of small, useful questions — about users, about the data, about each other's work. Ownership, not theater - You own outcomes, not status updates. Fewer meetings, fewer dashboards, more shipping.
Move fast, don't burn out - Hunch ships quickly because we cut the slow stuff, not because we work people into the ground. Hunch is backed by Hashed, AlphaWave, Brevan Howard and Polygon Studios.
Experienced Leadership

📌 Software Development Engineer, AWS (Delhi)
🏢 Hunch
📍 Delhi