Forward Deployed Engineer, Agentic Platform (UK/Europe)

About Cohere

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 North

North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.

Why This Role?

This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.

We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.

You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.

In This Role, You Will

• Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
• Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
• Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
• Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
• Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
• Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
• Travel up to 20–40% to work on-site with customers and partners

You May Be a Good Fit If

• You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
• You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
• You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
• You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
• You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
• You have experience owning the full scope of a use case end-to-end
• You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting

It's a Bonus If You Have

• Experience setting architectural standards for AI and agentic systems across distributed teams
• Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
• Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
• Experience with enterprise security, compliance, or auditability requirements for AI 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.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

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!)

Key skills/competency

• Forward Deployed Engineer
• Agentic Platform
• Applied AI
• Large Language Models (LLMs)
• Python
• RAG
• Vector Databases
• Orchestration Frameworks
• Enterprise Software
• Customer Collaboration