Company
AI/ML data analytics
SeniorSoftwareEngineer,Platform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, Platform. Skills: Agentic Semantic Layer, Distributed Agent Orchestration, Agentic Data Engineering. Build agentic semantic layer. Design orchestration systems for agents”
Industry & Context.
Owning problems end to end
On-site in New York City, Willing to work from NYC office
What They're Looking For.
Must Have
Proficiency in Golang, 4+ years backend/platform engineer experience, CS Bachelor's degree or comparable experience
Nice to Have
Experience with data visualization tools, Experience with data engineering, Experience with data modeling, Experience with big data technologies, Proven track record at early-stage startups, Experience building products from zero to one
What You'll Do.
Build agentic semantic layer
Design orchestration systems for agents
Implement orchestration systems for agents
Implement rate limiting
Implement OAuth passthrough
Implement model routers
Implement token optimization
Architect AI-centric ETL pipelines
Enable large-scale analytics
Contribute to infrastructure
Contribute to services
Contribute to frontend
How You'll Work.
Team & Collaboration
Platform team
Full Job Description
ABOUT THE ROLE Join 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 ann
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