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somishsolutions

Software Development Engineer III

New Delhi · Senior

Expect moderate competitionVerified listingPosted 24d ago

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Skills required

21 listed
CI/CDRelational DatabasesService DesignEmployee BenefitsApplication Programming Interface (API)TypeScriptNext.jsPython (Programming Language)+13 more
CI/CDRelational DatabasesService DesignEmployee BenefitsApplication Programming Interface (API)

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Job description

What is Hunch?

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.
With 2.4M+ daters, 1.47M+ dates planned, and 100% photo-verified profiles, Hunch is growing fast in the US by challenging the swipe-left/right norm of traditional apps. 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

Key offerings of Hunch:
  • One Drop a Day: A small, hand-picked set of photo-verified profiles arrives daily - chosen for taste, lifestyle, and who's actually free to meet. So every profile gets real attention instead of a mindless swipe.
  • 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.
  • Every Match, Verified: Every profile is matched to a live photo before it appears in anyone's drop. No bots, no catfishing - just real, trustworthy connections.
  • 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.

About the Role
We're on the lookout for a SDE-III to join our lean, dynamic team as we scale. 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.

What You'll Do
  • Own backend features end-to-end — product problem to API, schema, migration, tests, and deployment. You solve the problem, not just the ticket.
  • Build and run services across both stacks: TypeScript (Bun/Node, Prisma, Next.js) and Python (FastAPI, Pydantic, SQLAlchemy).
  • Own async & event-driven work — queues, streaming ingestion, scheduled jobs, retries, and idempotency. (A lot of our load never touches a request handler.)
  • 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. You own your deploys and their consequences.

What You'll Bring
  • 5+ years building and running backend systems in production. You've been on the hook when things broke.
  • Dual-stack proficiency: 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.
  • Streaming/event infrastructure in production: Kinesis or Kafka — producers, consumers, partitioning, replay, and handling backpressure and duplicates.
  • Service design & delivery — clean contracts, sensible boundaries, and knowing when not to split a service. Hands-on with AWS, Docker, and CI/CD.
  • End-to-end ownership — you've carried features from idea to production and lived with the results. 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. Keeping models alive in production counts double.
  • LLM Application Engineering: Agent loops, tool calling, structured output, and evaluating output quality programmatically. Self-hosted inference (vLLM, GPU serving, cost tuning) is a strong plus.
  • Data at Scale: Redshift/BigQuery/Snowflake, and observability tools (OpenTelemetry, Datadog).
  • Experimentation: A/B and shadow tests, guardrail metrics, and the discipline to read a flat result honestly.
  • Domain Experience: Consumer social or dating products.

What We Offer

  • Competitive pay along with an annual performance-linked incentive (PLI).
  • Employee benefits like Medical Insurance.
  • Participation in Employee Phantom Grants Program (Stock Options).

Life at Hunch

Hunch is a small team focused on shipping the parts of dating that usually stall - getting two interested people into the same room.
What we hire for - the ABCs
Most companies have a long list of values nobody remembers. We have three, and they show up in how we hire, what we ship, and how we talk about the work:
  • Authenticity - Real before polished. We build for real people on real first dates, and we hire the same way. No theater. If something's not working, say so; if it is, ship it.
  • Boldness - Dating got stuck because nobody wanted to break the pattern. 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. We trust people who keep learning over people who already know.

How we work
  • Ownership, not theater - You own outcomes, not status updates. Fewer meetings, fewer dashboards, more shipping.
  • Flexibility that's real - We care about the work, not the hours you sit at a desk. Take the afternoon, take the week - show up for the stuff that matters.
  • Move fast, don't burn out - Hunch ships quickly because we cut the slow stuff, not because we work people into the ground. Velocity comes from focus, not from hours.
  • Small team, big problems - You'll work on things that matter to millions of people trying to actually meet someone. Every role moves the product.

Backed by Global Investors
Hunch is backed by Hashed, AlphaWave, Brevan Howard and Polygon Studios.

Experienced Leadership
Hunch is founded by a trio of industry veterans: Ish Goel (CEO), Nitika Goel (CPO), and Kartic Rakhra (CMO) - serial entrepreneurs with their last exit from Nexus Mutual, a web3 consumer-tech startup.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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