Forward Deployed Engineer, Agentic Platform (UK Public Sector)

Overview

As a Software Engineer with Applied AI, you will design, build, and deploy LLM-powered agents that operate across tools, APIs, and sensitive data to deliver real enterprise value. You’ll bridge North, Cohere’s AI workspace platform, with customer engineering teams to solve real-world problems in finance, healthcare, and telecoms. You’ll own end-to-end use cases, ensure reliability and safety from day one, and contribute to scalable, auditable AI workflows. This role combines hands-on coding with customer collaboration in a fast-paced, enterprise-grade environment.

Pay / Benefits

• Weekly lunch stipend
• Full health and dental benefits
• RRSP matching, 401K, Pension Scheme
• 6 weeks of paid vacation
• Parental leave top-up
• Learning stipend and enrichment benefits

Responsibilities

• Design, build, and deliver LLM-powered agents with enterprise-grade reliability and performance across tools and data sources
• Translate high-value business problems into well-framed agentic workflows with clear success criteria
• Develop features for North across the full product lifecycle from concept to production
• Own end-to-end use cases, expanding into required technical areas (including frontend) to optimize solutions
• Contribute to shared frameworks and patterns for consistent, high-quality delivery
• Drive clarity in ambiguous situations and raise engineering quality across the organization
• Travel up to 20–40% to work on-site with customers and partners

Key requirements

• Hands-on experience building and deploying production-grade software in Python
• Experience deploying high-performance RAG and agentic applications with multi-step task execution (e.g., ReAct/Plan-and-Execute)
• Deep familiarity with the LLM stack (frontier models, vector databases, orchestration frameworks)
• Proven ability to build robust evaluation frameworks for agent accuracy, safety, and latency
• Experience working directly with customers and leading technical discussions with enterprise stakeholders
• Ability to own the full scope of a use case end-to-end
• Thrives in fast-paced, ambiguous environments with shifting priorities

• Customer-facing leadership
• Strong communication and collaboration across cross-functional teams
• Problem framing and decision-making in ambiguous contexts
• Python production-grade software
• RAG and agentic architectures
• LLM stacks including frontier models, vector databases, orchestration frameworks

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