Applied AI Engineer – Agentic Workflows

Who are we

Our mission is to scale intelligence to serve humanity. Were 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 whats 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!

Who are we

Our mission is to scale intelligence to serve humanity. Were 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 whats 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!

Why this role

Were a fast-growing startup building production-grade AI agents for enterprise customers at scale. 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.

In this role 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.

Youll collaborate closely with customers product and platform teams and help shape how agentic systems are built evaluated and deployed at scale.

What Youll Do

Customer-Facing Technical Impact

• Work closely with enterprise customers to translate high-value ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies.

• Provide technical leadership across the full development and evaluation lifecycle including post-deployment iteration for agentic workflows.

• Contribute to shared frameworks and patterns that enable consistent delivery across customers.

Agent Design Build and Production launches

• Lead the design build and delivery of LLM-powered agents that reason plan and act across tools and data sources with enterprise-grade reliability and performance.

• Balance rapid iteration with enterprise requirements evolving prototypes into stable reusable solutions.

• Define and apply evaluation and quality standards to measure success failures and regressions.

• Debug real-world agent behavior and systematically improve prompts workflows tools and guardrails.

Team Mentorship & Organizational Impact

• Mentor engineers across distributed teams.

• Drive clarity in ambiguous situations build alignment and raise engineering quality across the organization.

Required Skills & Experience

Technical Foundations & Applied AI

• Production Engineering: Substantial experience building shipping and maintaining production-grade software (Python/TypeScript). You understand how to write clean testable observable and scalable code.

• Agentic Architectures: Hands-on experience building agents that plan and execute multi-step tasks (ReAct Plan-and-Execute) and interact with external APIs/tools.

• The LLM Stack: Deep familiarity with Frontier Models (GPT Claude Gemini) RAG vector databases (Pinecone Weaviate etc.) and orchestration frameworks (LangGraph CrewAI or custom state machines).

• Rigorous Evaluation: Proven ability to move beyond trial and error by building robust evaluation frameworks to measure agent accuracy safety and latency.

Leadership & Impact

• Stakeholder Mastery: Experience leading technical discussions with enterprise customers to translate ambiguous business needs into concrete technical specs.

• Experience mentoring distributed teams and setting the architectural standards for AI/Agentic systems.

Additional Requirements

• Strong written and verbal communication skills.

• Ability and interest to travel up to 25% flexible.

Why Join Us

• Build production-grade AI agents used in real enterprise workflows.

• Operate at scale while retaining end-to-end ownership.

• Work on hard problems in agent design evaluation and reliability.

• Shape shared platforms and standards not just individual features.

• Move fast with a high bar for quality safety and reliability.

If some of the above doesnt 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!)

Required Experience:

Unclear Seniority