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Posted Jan 15Applied AI Engineer - Agentic Workflows (Singapore)
at Cohere
Singapore, SingaporeRemote
Responsibilities
- - Design and build LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability.
Requirements
- We’re 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.
- Join us on our mission and shape the future! WHY THIS ROLE? 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.
- WHAT YOU’LL DO - Work with enterprise customers and internal teams to turn business workflows into scalable, production-ready agentic AI systems.
- EXPERIENCE - 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.
- experience leading technical discussions with customers or partners. NICE-TO-HAVE -
- 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. ADDITIONAL
- 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.