Why Voygr

VOYGR (YC W26) is building a real-world index every AI agent and App will need. Google says '4.2 stars, open till 10’ – VOYGR knows the chef left, wait times doubled, and locals moved on. This is 1T agentic queries per year that need every place verified and always fresh. Existing sources disagree with each other, go stale within months, and nobody maintains them fast enough. 

Everyone loves maps. No one is building this at the infrastructure layer for AI. We do.

We are backed by Y Combinator and top investors with a multi-year runway. We already have real revenue and enterprise contracts. The founders are tech industry veterans (ex-Google Search & Maps, Meta, McKinsey, Harvard). You'll work directly with them.

The role

You'll work across our stack on a wide range of tasks – building APIs, data pipelines, ML integrations, product features, and infrastructure. The work changes week to week depending on what's most important. You'll get clear direction but also the space to figure out the best way to execute.

You

• 5+ years building and shipping production systems (or fewer if your background is unconventional and the work speaks for itself)
• Comfortable across the full stack – backend, APIs, infra, frontend when needed
• Experience with some combination of: search/IR, data processing at scale, ML systems, API design
• AI-native – you use Claude Code, Cursor, or similar tools daily and know how to get the most out of them
• Strong written and spoken English
• AMER/EU/CIS time zones

Nice to have: Geospatial/POI data · eval systems · agentic frameworks · LLM prompting

Tech stack

The core challenge: maintain a continuously-verified global index of every place on Earth as reality changes fast. That means multi-source ingestion at scale, entity resolution across conflicting signals, confidence and freshness scoring, and an API designed for AI agents. It's a data + ML + systems problem.

Python, FastAPI · ML/AI: custom models, LLM APIs (OpenAI, Gemini, Anthropic) · PostgreSQL, PostGIS, DynamoDB · AWS (EKS, CloudWatch), Docker, Redis

What we offer

• $4,000–$10,000/mo depending on location and experience
• Remote – work from anywhere with at least 4 hours of overlap with US Eastern time
• For the right person: path to relocating to the US, converting to full-time with equity and visa sponsorship

Company: Real-world place intelligence for AI apps and agents

Compensation: $4K - $10K / monthly

Skills: Kubernetes, ML, PostgreSQL, Python, Search

Experience: Any (new grads ok)