Senior Software Engineer, Agent Infrastructure

Senior Software Engineer · Senior · Full Time · Remote

Toronto · RemoteUSD 150k – 250k5mo ago
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Role

What you'll do.

Cohere is seeking a Senior Software Engineer to work on cutting-edge agentic AI infrastructure, developing innovative platforms for autonomous AI agents. The ideal candidate will combine deep systems expertise with machine learning insights to build scalable, secure, and robust infrastructure for next-generation AI agent technologies.

Responsibilities

  • AI Infrastructure Development: Turn emerging ML research ideas into production-ready infrastructure for autonomous AI agents
  • Platform Capabilities: Build core platform capabilities for execution, storage, and state management of AI agents
  • Technology Evaluation: Prototype and evaluate new technologies, making strategic decisions about production readiness
  • Cross-Team Collaboration: Partner with research teams to shape infrastructure based on future agent system requirements

Qualifications

What we look for.

Technical

  • ML Infrastructure

    Proven experience building production machine learning infrastructure with strong systems fundamentals

  • Distributed Systems

    Expertise in scalable, fault-tolerant distributed systems and Kubernetes

  • Agent Systems

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

Education

  • Advanced Degree

    Bachelor's or Master's in Computer Science, Software Engineering, or related technical field preferred

Experience

  • Systems Engineering

    Demonstrated track record of developing complex infrastructure solutions

  • Prototype Development

    Proven ability to move quickly on prototypes and make sound productionization decisions

Skills

Required

  • Distributed Computing

    Advanced knowledge of distributed systems architecture and implementation

  • Machine Learning Infrastructure

    Deep understanding of ML systems design and implementation

  • Kubernetes

    Proficiency in container orchestration and cloud-native technologies

Preferred

  • Multi-Cloud Experience

    Nice to have

    Familiarity with on-prem, private cloud, and public cloud environments

  • Security Expertise

    Nice to have

    Understanding of identity, workload authentication, and capability-based security systems

Tech stack

Languages

PythonGo

Frameworks

KubernetesDocker

Databases

Embedded Databases

Tools

Secure Execution Environments

Other

AI Platforms

Compensation

Pay and benefits.

Base·USD 150,000 – 250,000

Benefits

  • Health Benefits

    Comprehensive health and dental coverage with additional mental health budget

  • Parental Leave

    100% salary top-up for up to 6 months of parental leave

  • Personal Enrichment

    Benefits for arts, culture, fitness, and workspace improvement

  • Vacation

    6 weeks (30 working days) of annual vacation

  • Work Flexibility

    Remote-flexible with global office locations and co-working stipend

Process

Interview steps.

  1. 01

    Initial Screening

    Initial resume and background review

  2. 02

    Technical Phone Screen

    Detailed discussion of technical skills and experience with AI infrastructure

  3. 03

    Technical Interview

    In-depth technical assessment of systems design and ML infrastructure capabilities

  4. 04

    Onsite/Virtual Interviews

    Multiple rounds with team members, focusing on technical expertise and cultural fit

  5. 05

    Final Review

    Comprehensive evaluation and potential job offer

Full posting

Original listing.

Who are we?

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.

What you’ll work on.

  • 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.

In this role you will:

  • 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

You may be a good fit if you have:

  • 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.

Bonus

  • 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.

Full-Time Employees at Cohere enjoy these Perks:

🤝 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!)

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