About the Role
We're a fast-growing, well-funded AI-native analytics company (Series A/B equivalent) building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. Our platform helps organizations in highly regulated industries — including financial services and healthcare — query and reason over complex data using natural language, without heavy schema migrations or data movement.
As a Senior Software Engineer, Platform, you'll join the platform team shaping the data foundation that powers AI-driven analytics at scale. This is a zero-to-one, high-ownership role at a ~40-person company with strong investor backing and notable enterprise customers.
What You'll Do
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Agentic Semantic Layer: Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results — making AI-generated analytics something teams can actually stake decisions on.
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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.
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Agentic Data Engineering: Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics possible for organizations with little to no dedicated data engineering resources.
What We're Looking For
Required:
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4+ years of practical experience as a backend or platform engineer building scalable distributed systems
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Strong proficiency in Golang, with the ability to contribute across infrastructure, services, or frontend as needed
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Hands-on experience with gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment
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Experience designing or implementing ETL pipelines, data modeling, or schema design for data platforms
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Experience building orchestration systems for distributed agents (API integrations, rate limiting, OAuth, model routing, scheduling, or token optimization)
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Prior experience at an early-stage startup, ideally building products from zero to one
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Bachelor's degree in Computer Science, Software Engineering, or comparable professional experience
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Strong CS fundamentals
Nice to Have:
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Experience with data visualization tools or big data technologies (Spark, Hadoop, or similar)
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Background at a VC-backed startup
Compensation & Benefits
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Salary: $200,000 – $350,000 USD annually (depending on experience)
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Equity participation
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Visa sponsorship is available
Location
This role is on-site in New York City, NY. Candidates must be willing and able to work in-office full-time. Fully remote arrangements are not available for this position.
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