Cohere - Forward Deployed Engineer, Agentic Platform
Requirements
• Bachelor’s degree in Computer Science or a related technical field. • Strong programming skills in Python and/or JavaScript/TypeScript. • 3+ years of experience building and shipping production software; 2+ years working with LLMs or AI APIs. • Hands-on experience with modern LLMs (e.g., GPT, Claude, Gemini), vector databases, and agent/orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, or custom solutions). • Practical experience with RAG, agent workflows, evaluation, and performance optimization. • Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows (e.g. ReAct), and failure handling. • Ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk. • Strong communication skills and experience leading technical discussions with customers or partners. • Experience working in a fast-moving startup environment. • Prior work delivering AI or automation solutions to enterprise customers. • Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques. • Experience with cloud deployment and production operations for AI systems. • Background in applied ML, NLP, or decision systems. • Strong written and verbal communication skills. • Ability and interest to travel up to 25%, flexible.
Responsibilities
• 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
Benefits
• We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Applied AI Engineers 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, 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. • You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale. • 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 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. • 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!)
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