Member of technical staff - Agent
Quick Summary
About H:H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
Research & Leadership: Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs).
Technical Skills: Senior Experience: Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with a proven track record of leading complex, end-to-end AI/ML projects from…
Responsibilities
~1 min read- →
Requirements
~1 min readNice to Have
~1 min readPractical experience applying Reinforcement Learning to systems built on Large Language Models (LLMs).
Experience with distributed systems or cloud computing, preferably in AWS.
Familiarity with building complex simulation environments for agent training.
Experience with LLM training or fine-tuning.
Experience developing large-scale evaluation and benchmarking systems for AI models.
Experience in an agentic framework (e.g., LangChain, AutoGen, CrewAI, OpenAI SDK).
Expertise in system architecture, instrumentation, observability, and monitoring for complex, high-performance systems.
Paris or London.
This role is hybrid, and you are expected to be in the office 3 days a week on average.
Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- November 14, 2025
- First seen
- May 6, 2026
- Last seen
- May 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 15%
- Scored at
- May 6, 2026
Signal breakdown
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