Platform / Infrastructure Engineer – AI Training Data

Rnb Consultancy; San Francisco (CA); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Rnb Consultancy in San Francisco is seeking a senior backend engineer to own the internal platform that generates post-training data for leading AI labs. You will scale throughput, reliability, orchestration, and data flow while solving low-level infra challenges related to databases, messaging, and concurrency.

You will work closely with researchers to define platform needs and advance the data ecosystem that frontier models rely on.

Qualifications

• Owner of an internal platform and grew it at scale.
• Deep knowledge of distributed systems or concurrency below the application layer.
• Curiosity about AI research and passion for infrastructure.

Responsibilities

• Own the end-to-end internal platform that generates post-training data.
• Scale throughput, reliability, orchestration and data flow.
• Tackle hard infra challenges below the application layer; collaborate with researchers.

Skills

Platform ownership

Distributed systems

Concurrency

AI research interest

Tools

JVM

Kafka

Job description

You've owned a platform at scale. Now build the one that produces training data for the world's leading AI labs.

A profitable, seed-stage AI company in San Francisco builds the environments and post-training data that frontier models learn from. Every leading US AI lab is a customer. Behind that sits an internal platform that produces the data at scale, and that platform is yours. You work right next to the research team, so a genuine interest in AI research matters as much as your infrastructure depth.

What you'll own

• The internal platform that generates post-training data, end to end
• Scaling it: throughput, reliability, orchestration and the data flowing through it
• The hard problems below the application layer: databases, networking, messaging, concurrency
• Close collaboration with researchers on what the platform needs to do next

Must-haves

• You were the owner of an internal platform and grew it at scale yourself; being a user of one isn't enough
• Real depth in distributed systems or concurrency below the application layer
• Real curiosity about AI research, on top of your love for infrastructure
• Happy to work on-site in San Francisco on 9-9-6
• Roughly 3–7 years of experience

Bonus points

• JVM experience (Java or Scala) and async I/O; Go or Rust also welcome
• Kafka, orchestration, data platforms or developer platforms
• Open-source maintainer of data or orchestration tooling

What's in it for you

• $250k–$300k base, one of the strongest packages around for this profile
• A cash-flow-positive company whose customers are the top AI labs
• Visa sponsorship available

Good to know

• Full-time, on-site in San Francisco, 9-9-6 (many on the team voluntarily put in more)
• The technical round is about finding bugs in real JVM and async code, not LeetCode puzzles
• Process: meet the founders → technical interview → work trial → offer