Remote Applied AI Engineer – Agentic Workflows

Description:

• Cohere is a fast-growing startup focused on building production-grade AI agents for enterprise customers at scale.
• The role of Applied AI Engineer involves owning the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs).
• Responsibilities include working closely with customers to address real-world business problems and building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources.
• The position requires balancing rapid iteration with enterprise requirements to evolve prototypes into stable, reusable solutions.
• The engineer will define and apply evaluation and quality standards to measure success, failures, and regressions.
• Debugging real-world agent behavior and systematically improving prompts, workflows, tools, and guardrails is essential.
• Collaboration with customers, product, and platform teams is necessary to shape how agentic systems are built, evaluated, and deployed at scale.

Requirements:

• A Bachelor’s degree in Computer Science or a related technical field is required.
• Strong programming skills in Python and/or JavaScript/TypeScript are necessary.
• Candidates must have 3+ years of experience building and shipping production software, with at least 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) is required.
• Practical experience with RAG, agent workflows, evaluation, and performance optimization is essential.
• Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows, and failure handling, are necessary.
• The ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk, is required.
• Strong communication skills and experience leading technical discussions with customers or partners are essential.

Benefits:

• Employees will build production-grade AI agents used in real enterprise workflows.
• The role offers the opportunity to operate at scale while retaining end-to-end ownership.
• Employees will work on challenging problems in agent design, evaluation, and reliability.
• There is a chance to shape shared platforms and standards, not just individual features.
• The work environment promotes moving fast with a high bar for quality, safety, and reliability.
• Additional perks include an open and inclusive culture, weekly lunch stipend, full health and dental benefits, 100% parental leave top-up for up to 6 months, personal enrichment benefits, remote-flexible work options, and 6 weeks of vacation (30 working days).