Senior Software Engineer, Agent Infrastructure

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale.

You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows.

This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design.

• Secure execution environments for agent-generated code

• Identity, authentication, and trust boundaries for agents

• Model routing and orchestration across different model types and environments

• Rate limiting, quotas, and resource management for agent workflows

• State management, memory, and filesystem abstractions for agents.
  

• Turn emerging ML research ideas into production-ready infrastructure

• Build core platform capabilities for execution, storage, and state management

• Prototype and evaluate new technologies, then help decide what should move into production

• Partner with research teams to shape infrastructure based on what future agent systems will need

• Experience building production ML infrastructure with strong systems fundamentals

• Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks

• Familiarity with model routing and LLM provider frameworks across different model types and environments

• Experience with scalable, fault-tolerant distributed systems and Kubernetes

• A track record of moving quickly on prototypes and making good decisions about productionization.
  

• Experience across on-prem, private cloud, and public cloud environments

• Familiarity with storage systems, embedded databases, or filesystem abstractions

• Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes

• Interest in emerging ML infrastructure, edge inference, or browser-native models

• Open-source contributions to LLM or agent infrastructure projects

• Experience with identity, workload auth, or capability-based security systems.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.