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# Senior Software Engineer, Auctions

- **Company:** Alt Platform Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $200,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Cloud Computing, Cursor, Python (Programming Language), PostgreSQL, Load Testing, Language Modeling, Recommender Systems, TypeScript, ReactJS, Large Language Models, Claude Code, Front End Software Development, Claude, Crud
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0dddafedd61726cc

## About the Role

* 5+ years building and scaling complex applications - Python, Postgres, AWS or comparable cloud infrastructure.
 * Modern frontend mastery. Deep experience with React, TypeScript, and building high-performance real-time UIs. Real-time is the operative word: this is not a CRUD screen.
 * Reliability under pressure. A track record of building systems that stay up when the stakes and the traffic are highest. You've been paged during the worst possible ten minutes.
 * AI pragmatism. You've taken LLMs or computer vision models and turned them into practical, user-facing features that solved a real business problem. Not a demo.
 * Product instincts. You don't build what's on the ticket. You understand the collector mindset and build things that delight them - and you can explain the why behind past work before you explain the how.
 * High agency. You thrive where you're expected to find the highest-leverage work and go execute it without a hand-holding manual.

Bonus: experience with personalization engines, recommendation systems, or AI/ML integrations. Startup experience. You collect, or you have a view on where this market is going.

## Description

The last ten seconds of an auction are the whole product. Hundreds of people who have been watching one card for a week all arrive at once, every one of them refreshing, every one of them bidding., We don't want to hear that you use Claude every day. Everyone does. We want to know what you've built with it. Concretely, in this role:

 * Ship instant valuation into the consignor flow - take an Alt Value, a card's condition and provenance language, and recent comps, and produce an upfront liquidity offer a seller can accept in one tap. This is the flagship AI feature on this team, and it is user-facing
 * Use vision and language models to enrich listings at scale: parse condition notes, extract attributes from listing photos and descriptions, and turn a messy long tail of one-of-one items into structured data a recommender can actually use
 * Build a load-and-concurrency harness you can talk to - generate the closing-seconds bid storm, replay it against a branch, and get back where the write path bent, without spending two days wiring a load test
 * Stand up an agent over auction telemetry that watches close windows and flags anomalies - bid latency creeping, a seller's listings underperforming their comps - before a power seller emails us about it
 * Put an MCP server over listing, bid, and pricing history so "why did this lot close low" is a sentence, not another one-off query
 * Use Claude Code or Cursor as the default way you work through a refactor or a migration, not as autocomplete

If you've built agents, wired up connectors, written skills or MCP servers, or shipped internal tooling your team actually depends on - lead with that. Name the artifact, not the tool.