Forward Deployed Engineer, Agentic Platform

Cohere


Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed
Posted on: 21 days ago
Vacancies: 1 Vacancy

Job Summary

Who are we

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

Were training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

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. Cohere is a team of researchers engineers designers and more who are all passionate about their craft.

We are a global technology company co-headquartered in Toronto and San Francisco with key offices in London New York City Montreal Seoul Germany and Paris. Join us!

About North:

North is Coheres 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 youll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance healthcare and telecommunications.

Were 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. Youll 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.

Note: between 20 - 40% travel anticipated

Location: Eastern Time Zone (US/Canada)

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 2040% 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

  • Youve 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

  • Youre 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

  • Youre 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

Its 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

How and Where We Work:

  • Cohere is remote-friendly. We have offices in Toronto San Francisco New York City London Paris Montreal and more coming soon.

  • For those in the office: a daily lunch program plenty of snacks and regular community and social events.

  • For those not near an office: a co-working benefit so you can work alongside others in your city.

If any of the above doesnt line up exactly with your experience we still encourage you to apply.


We 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 doesnt limit the applications our recruiters may review or consider.


Required Experience:

Unclear Seniority

Who are weCohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.Were training and deploying frontier models for enterprises who are building AI systems. We believe that o...

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Deploy multilingual models, advanced retrieval, and intelligent agents securely and privately — without the risks of ordinary AI.

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