About the RoleJoin a well-funded AI/ML data analytics startup building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. As a
Senior Software Engineer, Platform, you'll be a core member of the platform team shaping the data foundation that enables AI-driven analytics at scale - no heavy schema migrations or data movement required. This is a high-impact, zero-to-one role at an early-stage company backed by top-tier investors.
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 - making AI-generated queries something teams can actually stake decisions on.
- Distributed Agent Orchestration: Design and implement orchestration systems for agents that interact with the world, including API integrations, rate limiting, OAuth passthrough, model routers, scheduling, and token optimization.
- Agentic Data Engineering: Architect AI-centric ETL pipelines for data lakehouses, enabling large-scale analytics for organizations with minimal data engineering resources.
- Contribute across infrastructure, services, and frontend as the team and product evolve.
What We're Looking For- Required: Proficiency in Golang - this is a dealbreaker requirement.
- Required: 4+ years of practical experience as a backend or platform engineer building scalable distributed systems.
- Hands-on experience with gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment.
- Experience with data visualization tools, data engineering, data modeling, and big data technologies.
- Proven track record at early-stage startups or building products from zero to one.
- Strong CS fundamentals; Bachelor's degree in Computer Science, Software Engineering, or comparable experience.
- Comfortable working in a fast-moving environment and owning problems end to end.
Compensation & Benefits- Salary range: $200,000 - $350,000 USD annually
- Visa sponsorship is available
LocationThis role is
on-site in New York City. Candidates must be willing and able to work from the NYC office. Fully remote arrangements are not available for this position.
