Senior Software Engineer, Agent Infrastructure
Senior Software Engineer · Senior · Full Time · Remote
Opens Cohere's application page
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 haveFamiliarity with on-prem, private cloud, and public cloud environments
Security Expertise
Nice to haveUnderstanding of identity, workload authentication, and capability-based security systems
Tech stack
Languages
Frameworks
Databases
Tools
Other
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.
- 01
Initial Screening
Initial resume and background review
- 02
Technical Phone Screen
Detailed discussion of technical skills and experience with AI infrastructure
- 03
Technical Interview
In-depth technical assessment of systems design and ML infrastructure capabilities
- 04
Onsite/Virtual Interviews
Multiple rounds with team members, focusing on technical expertise and cultural fit
- 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!)
Redirects to Cohere's application page.
Other roles
More at Cohere.
Forward Deployed Engineer, Infrastructure Specialist (France)
Mid
Software Engineer, Integrations
Mid
Forward Deployed Engineer, Infrastructure Specialist (Singapore)
Senior
Forward Deployed Engineer, Infrastructure Specialist (South Korea)
Mid
Engineering Manager, FDE Agentic Platform
Manager