AI Research Engineer: Post-Training & Agentic RL

Oho Group; San Francisco (CA); On-site; USD 160,000 - 230,000; Full time

Job summary

Oho Group is seeking an AI Researcher to advance post-training methods and agentic RL for complex hardware-engineering workflows. The role emphasizes hands-on development and practical deployment of AI agents in real-world tasks.

You will implement RL environments, generate synthetic data, and build benchmarks while collaborating with hardware experts to translate research into production-ready tools.

Qualifications

• Proven experience with LLM post-training and RL environments.
• Evidence of both research and practical implementation of AI agents.
• Experience using Cursor or Claude Code in development workflows.

Responsibilities

• Develop post-training approaches for agents performing multi-step tasks.
• Build RL environments with executable tasks and reliable reward signals.
• Generate and filter synthetic data using agent feedback to guide training.
• Design benchmarks testing tool use and generalisation.
• Collaborate with hardware specialists to map workflows to learnable tasks.
• Turn research into working code and contribute tools/infrastructure.

Skills

Software engineering fundamentals

Post-training ML / RL

AI agents

Tooling (Cursor / Claude Code)

Tools

Cursor

Claude Code

Job description

Oho Group is seeking an AI Researcher to advance post-training methods and agentic RL for complex hardware-engineering workflows. The role emphasizes hands-on development and practical deployment of AI agents in real-world tasks.

You will implement RL environments, generate synthetic data, and build benchmarks while collaborating with hardware experts to translate research into production-ready tools.