- Jobs
- Cohere
- Applied AI Engineer - Agentic Workflows (Singapore)
Applied AI Engineer - Agentic Workflows (Singapore)
Full-timeMid
AI Tools
Claude CodeGPTGeminiLangChainLangGraphLlamaIndex
Tech Stack
PythonTypeScriptLangChainLangGraphLlamaIndexVector DatabasesRAG
Agent Workflow
Design and build LLM-powered agents that reason, plan, and act across tools and data sources using multi-step agent workflows (ReAct pattern), integrating with tools, APIs, and data sources.
About the Role
Applied AI Engineer - Agentic Workflows Cohere | Singapore (Remote-flexible) | Posted January 15, 2026
Cohere is 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.
Responsibilities:
- Transform business workflows into scalable, production-ready agentic AI systems
- Design and build LLM-powered agents that reason, plan, and act across tools and data sources
- Build agent workflows that integrate LLMs with tools, APIs, and data sources
- Balance rapid iteration with enterprise reliability standards
- Establish evaluation and quality metrics for agent performance
- Debug agent behavior and improve prompts, workflows, and guardrails
- Develop reusable frameworks for consistent customer delivery
Required Qualifications:
- Bachelor's in Computer Science or related field
- 3+ years building production software; 2+ years with LLMs/AI APIs
- Strong Python and/or JavaScript/TypeScript skills
- Hands-on experience with GPT, Claude, Gemini, vector databases, LangChain, LangGraph, or LlamaIndex
- Expertise in RAG, agent workflows, evaluation, and performance optimization
- Proficiency in prompt engineering, tool use, and multi-step workflows
Benefits:
- 6 weeks vacation (30 working days)
- 100% parental leave top-up for 6 months
- Full health/dental coverage with mental health budget
- Weekly lunch stipend and in-office meals
- Personal enrichment benefits
- Remote-flexible with co-working stipend
- Offices in Toronto, New York, San Francisco, London, Paris