Join the platform team at a well-funded AI/ML data analytics startup building an agentic data lakehouse. You'll help shape the data foundation that enables AI-driven analytics at scale. This is a high-impact, zero-to-one engineering role at an early-stage company.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
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Job Description
About The Role
Join the platform team at a well-funded AI/ML data analytics startup building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. You'll help shape the data foundation that enables AI-driven analytics at scale — without heavy schema migrations or data movement. This is a high-impact, zero-to-one engineering 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 their results — turning AI-generated queries into something teams can actually rely on.
- Distributed Agent Orchestration: Design and implement orchestration systems for distributed agents, 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 data engineering resources.
- Contribute across infrastructure, services, or frontend as needed in a small, fast-moving team.
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Required
- 4+ years of practical experience as a backend or platform engineer building scalable distributed systems.
- Proficiency in Golang (dealbreaker).
- 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 preferred).
- Strong CS fundamentals; Bachelor's degree in Computer Science, Software Engineering, or comparable experience.
- Experience with data visualization tools, data engineering, data modeling, and big data technologies.
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- Ability to contribute across infrastructure, services, or frontend beyond core backend work.
- Background at companies working on data warehousing, BI tooling, or AI/ML analytics platforms.
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- Salary: $200,000 – $350,000 USD annually
- Visa sponsorship available
This role is on-site in New York City, NY. Candidates must be willing and able to work from the NYC office full-time.
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