Senior Software Engineer, Agent Infrastructure

Cohere • San Francisco, CA

1d • Remote

About The Position

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! About the role. 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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• An open and inclusive culture and work environment
• Work closely with a team on the cutting edge of AI research
• Weekly lunch stipend, in-office lunches & snacks
• Full health and dental benefits, including a separate budget to take care of your mental health
• 100% Parental Leave top-up for up to 6 months
• Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
• Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
• 6 weeks of vacation (30 working days!)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed