RL Systems Engineer: Environments & High-Throughput Pipelines

Hyphen Connect; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Hyphen Connect is seeking a hybrid Systems Engineer and AI Researcher to lead the design and implementation of our agent evaluation framework and post-training data pipelines.

You will architect sandboxed execution environments, high-throughput reinforcement learning feedback loops, and robust evaluation setups that handle non-deterministic agent outputs in enterprise settings. This role requires in-person collaboration at our SF office and a pragmatic problem-solving mindset.

Qualifications

• Production AI evaluations, RL loops, or sandboxed environments deployed in production.
• Proficiency in Python, Rust, C++, Go, TypeScript or CUDA; quick to pick up new tools.
• On-site in San Francisco required.
• Able to work with undocumented SDKs and distributed training setups.

Responsibilities

• Build stateful agent environments with 50+ step trajectories.
• Scale post-training and RL pipelines for dynamic policy optimization.
• Design enterprise benchmarks to detect drift, hallucinations, and loops.
• Optimize systems to minimize latency across distributed GPUs and sandboxes.

Skills

Production AI Experience

Systems Polyglot

Pragmatic Problem Solver

Tools

Python

Rust

C++

Go

TypeScript

CUDA

Job description

Hyphen Connect is seeking a hybrid Systems Engineer and AI Researcher to lead the design and implementation of our agent evaluation framework and post-training data pipelines.

You will architect sandboxed execution environments, high-throughput reinforcement learning feedback loops, and robust evaluation setups that handle non-deterministic agent outputs in enterprise settings. This role requires in-person collaboration at our SF office and a pragmatic problem-solving mindset.