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About the Role

Join the platform team at a well-funded, early-stage AI data analytics startup building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data at scale. As a Senior Software Engineer, Platform, you'll shape the data foundation that powers AI-driven analytics — no heavy schema migrations or data movement required. This is a high-ownership, zero-to-one role on a small, high-caliber team.

Responsibilities

Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results.
Design and implement orchestration systems for agents interacting with the broader world.
Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics accessible to organizations with minimal data engineering resources.
Contribute across infrastructure, services, or frontend as the team and product evolve.

Requirements

4+ years of hands-on experience as a backend or platform engineer building scalable distributed systems.
Background at early-stage, VC-backed startups or demonstrated experience building products from zero to one.
Experience with data visualization tools, data engineering, data modeling, and big data technologies.
Familiarity with semantic layers, ontologies, or metadata management in enterprise data environments.
Experience with AI/ML infrastructure or LLM orchestration patterns.
Comfort owning work across infrastructure, services, or frontend as needed.

Skills

Golang
gRPC / ConnectRPC
Trino
Kubernetes
DuckDB
PostgreSQL
data visualization tools
data engineering
data modeling
big data technologies
semantic layers
ontologies
metadata management
AI/ML infrastructure
LLM orchestration patterns

Location

New York City, NY

Work Type

On-site
Full-time

Experience Level

Senior

Education Level

Bachelor's degree in Computer Science, Software Engineering, or comparable practical experience.

Salary/Compensations

$200,000 – $350,000 USD

Benefits

Visa sponsorship is available

About the Company

Well-funded, early-stage AI data analytics startup building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data at scale.