About the Role
Cohere is seeking a Forward Deployed Engineer for its Agentic Platform. This role is instrumental in increasing the capabilities of Cohere's AI models and the value they deliver to enterprise customers. The Forward Deployed Engineer will act as a liaison between Cohere's core North product and client engineering teams, focusing on solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
The North Platform
North is Cohere's AI workspace platform designed for enterprises. It provides a secure and customizable environment for deploying AI while maintaining data control. North integrates with existing workflows, connecting AI agents with workplace tools and applications. This position offers a significant opportunity to shape how enterprises leverage AI in practical applications.
Key Responsibilities
- Collaborate with enterprise customers to translate complex business problems into well-defined agentic workflows with clear success criteria and evaluation methods.
- Lead the design, development, and delivery of LLM-powered agents capable of reasoning, planning, and acting across various tools, APIs, and sensitive enterprise data sources, ensuring enterprise-grade reliability and performance.
- Contribute to building and shipping features for the North AI workspace platform, engaging in the full product lifecycle from conceptualization to production.
- Take end-to-end ownership of scoping and shaping use cases, adapting to necessary technical areas, including frontend development, to achieve optimal solutions.
- Develop and maintain shared frameworks and patterns to ensure consistent, high-quality delivery across customers and internal teams.
- Drive clarity in ambiguous situations, foster alignment, and enhance engineering quality across the organization.
- Travel up to 20-40% to work on-site with customers and partners.
Qualifications and Requirements
- Hands-on experience building and deploying production-grade software in Python, with a focus on writing clean, testable, observable, and scalable code.
- Experience building and deploying highly performant RAG and agentic applications, including agents that execute multi-step tasks using patterns like ReAct or Plan-and-Execute.
- Deep familiarity with the LLM stack, including frontier models, vector databases, and orchestration frameworks.
- Proven ability to build robust evaluation frameworks to measure agent accuracy, safety, and latency, moving beyond trial-and-error approaches.
- Experience working directly with customers and leading technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specifications.
- Demonstrated experience owning the full scope of a use case end-to-end.
- Ability to thrive in fast-paced and ambiguous environments and execute effectively when priorities shift.
Required Skills
- Python
- Applied AI
- Large Language Models (LLMs)
- Agentic Workflows
- Software Engineering
- Testable, Observable, and Scalable Code
- RAG (Retrieval-Augmented Generation)
- Agentic Applications
- ReAct and Plan-and-Execute patterns
- LLM Stack, including Vector Databases and Orchestration Frameworks
- Evaluation Frameworks
- Customer Interaction and Technical Discussions
- Problem Solving
- Adaptability in Fast-paced and Ambiguous Environments
- Architectural Standards for AI and Agentic Systems
- Frontend Development
- Enterprise Security, Compliance, and Auditability
Work Location and Type
This is a full-time position. The role is based in Riyadh, Saudi Arabia. Candidates located in the Middle East or those open to traveling or relocating are encouraged to apply. Travel is anticipated to be between 20-40% to work on-site with customers and partners.
