Staff Engineer: Code LLMs & Autonomous Agents

Cohere; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Lunch stipend

Health and dental benefits

RRSP matching / 401K

Parental Leave top-up

Education & learning stipend

6 weeks paid vacation

Travel budget to other offices

Remote-friendly / co-working support

Job summary

Cohere is seeking a senior Member of Technical Staff for the Agent Code team. You will advance code LLMs and agent systems, working at the intersection of research and production to solve complex tasks with minimal human input.

The role blends hands-on engineering with research, collaborating with engineers and researchers to deploy scalable, production‑grade solutions across our compute platforms.

Qualifications

• PhD in CS/ML with publications in top venues.
• Deep expertise in code LLMs and agent systems; active contributions to their development.
• Hands-on experience with frontier LLMs applied to code generation or automation.
• Strong software engineering skills in Python; experience with PyTorch or TensorFlow.
• Experience with distributed systems and scalable cloud infrastructure.

Responsibilities

• Stay up-to-date with the latest research in code LLMs and agents and implement novel ideas.
• Design and implement scalable training strategies for code models and deploy agent frameworks for inference and sampling.
• Lead experiments on frontier compute infrastructure and push the boundaries of enterprise-ready solutions.
• Hillclimb on benchmarks and create new ones aligned with enterprise needs.

Skills

Code LLMs

Agent systems

Python

Research & publications

Frontier LLMs

Distributed systems

Cloud infrastructure

Education

PhD in Computer Science or Machine Learning

Tools

PyTorch

TensorFlow

Cloud platforms

Distributed systems

Job description

Cohere is seeking a senior Member of Technical Staff for the Agent Code team. You will advance code LLMs and agent systems, working at the intersection of research and production to solve complex tasks with minimal human input.

The role blends hands-on engineering with research, collaborating with engineers and researchers to deploy scalable, production‑grade solutions across our compute platforms.