Member of Technical Staff

Ripline, Inc.; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Ripline, Inc. in San Francisco is seeking a Member of Technical Staff to collaborate with founders on product direction, implementation, and deployments with high autonomy and ownership over core systems.

You will own the agent runtime, optimize post-training pipelines, engineer data ingestion from large datalakes, and design interfaces for interacting with agents and observing deployments across environments.

Qualifications

• Meaningful product engineering experience in industry.
• Strong backend and systems engineering fundamentals with distributed systems.
• Deep expertise in agent architectures and LLM-powered applications.
• Familiarity with TypeScript, Next.js, and Python.

Responsibilities

• Own the agent runtime and scaffold durable agentic infrastructure for long-horizon tasks.
• Post-training: create post-training recipes using pipeline RL and optimize for GPU utilization.
• Context engineering: automate ingestion of unstructured enterprise datalakes.
• Design platform interfaces for interacting with agents and providing observability over deployments.

Skills

Backend systems

Distributed systems

LLM-powered apps

TypeScript

Next.js

Python

Tools

TypeScript

Next.js

Python

Job description

About Ripline

Ripline is an applied research lab deploying specialized intelligence in critical industries (i.e. aerospace, defense, and more). Our focus is to deploy agents that automate operational work.

We’re backed by Khosla Ventures (Adrian Radu, Keith Rabois), Hanabi Capital (Shreyan Jain, Mike Volpi), SV Angel, SF1, and other investors. Our angels include founders/execs at OpenAI, Google DeepMind, Cursor, Decagon, CoreWeave, Profound, Northwood Space, Solidworks, and more.

About the Role

Member of Technical Staff is a generalist position where you will collaborate closely with the founders on product direction, implementation, and deployments. This role has high autonomy and requires exercising high agency. When you find a thread worth pursuing , you pursue it. Customer experience is supreme and should be the lens in which you problem solve.

What you'll do

• Own the agent runtime. Scaffold out durable agentic infrastructure for long-horizon tasks.

• Post-training. Create post-training recipes using pipeline RL and make optimizations for max gpu utilization

• Context Engineering. Automate ingestion of extremely unstructured and messy enterprise datalakes.

• Design platform interfaces for interacting with agents and providing observability over current deployments.

What we're looking for

• Meaningful product engineering experience in industry.

• Strong backend and systems engineering fundamentals with a heavy emphasis on distributed systems.

• Deep expertise in agent architectures and LLM-powered applications

• Familiarity with TypeScript, Next.js, and Python

Nice to have

• Experience with RLHF, async RL techniques, or similar learning systems

• Previous founder or founding engineer

• Background in hardware/critical industries

• Having worked in ITAR-regulated environments