Hybrid Member of Technical Staff – Research – Agent

at Company Watch

• Job title: Member of Technical Staff – Research – Agent
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Cloud, Distributed Systems
• Location requirements: Hybrid, London, United Kingdom

About the role

• Research-focused role defining architecture and building robust AI systems to translate cutting-edge research concepts into high-performance platforms. Collaborate with researchers and engineers in pioneering agentic AI capabilities.

Responsibilities

• Design and develop new agents, proposing new research directions, e.g., combining state-of-the-art RL with foundation models (LLMs/VLMs).
• Design, implement, and scale complex, high-performance systems for training large-scale agents, including foundational infrastructure and novel algorithms.
• Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics and system architectures.
• Create, manage, and scale massive benchmarks and evaluation systems to track agent capabilities, owning system reliability, scalability, and observability.
• Mentor and guide other engineers and researchers, fostering technical excellence and enforcing engineering standards.
• Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle.

Requirements

• 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 conception to production.
• Preferably PhD (or equivalent research experience) in Machine Learning, Computer Science, or a related field, preferably with a strong publication record (e.g., NeurIPS, ICML, ICLR) in Computer Science.
• Deep theoretical and practical expertise in Agentic AI and proven experience building, scaling, and shipping solutions involving foundation models (LLMs/VLMs).
• Enjoys collaboration and thrives in a teamwork-oriented, fast-paced research environment.
• Possesses impactful communication skills, with the ability to bridge the gap between research and engineering and articulate complex ideas clearly.
• Genuinely eager to explore and solve the new engineering and research challenges at the frontier of agentic AI.
• Practical 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.

Benefits

• Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
• Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
• Enjoy a competitive salary.
• Unlock opportunities for professional growth, continuous learning, and career development.