Job description
ABOUT THE ROLE
Join the platform team at a fast-growing, venture-backed AI data analytics startup building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. As a Senior Software Engineer, Platform, you'll help shape the data foundation that powers AI-driven analytics at scale — without heavy schema migrations or data movement.
This is a high-impact, zero-to-one opportunity on a small, senior team tackling genuinely hard distributed systems and data engineering challenges. This role is on-site in New York City. Visa sponsorship is available.
WHAT YOU'LL DO
- Agentic Semantic Layer: Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove results — the layer that makes AI-generated queries trustworthy enough to stake decisions on.
- Distributed Agent Orchestration: Design and implement orchestration systems for agents that interact with the outside world — API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.
- Agentic Data Engineering: Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics accessible to organizations with little or no dedicated data engineering resources.
- Contribute across infrastructure, backend services, and frontend as needed in a lean, cross-functional team.
WHAT WE'RE LOOKING FOR
- 4+ years of practical experience as a backend or platform engineer building scalable distributed systems.
- Strong proficiency in Golang.
- Hands-on experience with gRPC / ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment.
- Experience at early-stage startups or building products from zero to one (VC-backed environment a strong plus).
- Bachelor's degree in Computer Science, Software Engineering, or comparable practical experience.
- Solid CS fundamentals and a track record of owning complex systems end-to-end. Nice-to-haves:
- Experience with data visualization tools, data modeling, and big data technologies.
- Familiarity with data warehouse integrations (e.g., BigQuery, Redshift, Snowflake).
- Comfort stretching into infrastructure or frontend work when the team needs it.
COMPENSATION
& BENEFITS
- Salary: $200,000 – $350,000 USD annually, depending on experience.
- Equity participation.
- Competitive benefits package. LOCATION This is a full-time, on-site role based in New York City, NY. Candidates must be willing and able to work on-site. Visa sponsorship is available.