About the RoleJoin a fast-growing, venture-backed AI data analytics company 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 powers AI-driven analytics at scale - no heavy schema migrations or data movement required.
This is an early-stage, high-ownership role for a backend or platform engineer who thrives in a zero-to-one environment and wants to help define the architecture of next-generation AI analytics infrastructure.
What You'll Do- Agentic Semantic Layer: Build the system that gives AI agents the context to query enterprise data correctly, along with the guardrails to validate and prove results - making AI-generated analysis something organizations can genuinely stake decisions on.
- Distributed Agent Orchestration: Design and implement orchestration systems for agents that interact with the real world - including API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.
- Agentic Data Engineering: Architect AI-centric ETL pipelines for data lakehouses, enabling large-scale analytics for organizations with minimal dedicated data engineering resources.
What We're Looking ForRequired:- 4+ years of practical experience as a backend or platform engineer building scalable distributed systems.
- Proficiency in Golang, with the ability to contribute across infrastructure, services, or frontend as needed.
- Hands-on experience with gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment.
- Experience building orchestration systems for distributed agents - covering API integrations, rate limiting, OAuth, model routing, scheduling, or token optimization.
- Experience designing or implementing ETL pipelines, data modeling, or schema design for data platforms.
- Experience at early-stage startups or building products from zero to one.
- Strong CS fundamentals; Bachelor's degree in Computer Science, Software Engineering, or comparable professional experience.
Nice to Have:- Experience with data visualization tools or big data technologies (e.g., Spark, Hadoop, or similar).
- Background at VC-backed early-stage startups.
Compensation & Benefits- Salary: $200,000 - $350,000 USD annually, depending on experience.
- Visa sponsorship is available.
LocationThis role is
on-site in
New York City, NY. Candidates must be willing and able to work from the NYC office. Fully remote candidates are not a fit for this position.
