9 months ago
Singapore, SingaporeMid Level
Responsibilities
- Work with enterprise customers and internal teams to turn 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 with enterprise-grade reliability.
- Evolve rapid prototypes into stable, reusable solutions while meeting enterprise requirements.
- Define and apply evaluation and quality standards to measure success, failures, and regressions.
- Debug agent behavior and improve prompts, workflows, tools, and guardrails.
- Contribute to shared frameworks and patterns that support consistent delivery across customers.
- Collaborate with customers, product teams, and platform teams to shape how agentic systems are built, evaluated, and deployed at scale.
Requirements
- Bachelor’s degree in Computer Science or a related technical field.
- Strong programming skills in Python and/or JavaScript/TypeScript.
- At least 3 years of experience building and shipping production software and at least 2 years working with LLMs or AI APIs.
- Hands-on experience with modern LLMs such as GPT, Claude, and Gemini; vector databases; and agent or orchestration frameworks such as 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 workflows, and failure handling.
- Ability to balance customization and reuse, autonomy and control, and cost, latency, and risk.
- Strong written and verbal communication skills and experience leading technical discussions with customers or partners.
- Experience in a fast-moving startup environment is preferred.
- Experience delivering AI or automation solutions to enterprise customers is preferred.
- Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques is preferred.
- Experience with cloud deployment and production operations for AI systems is preferred.
- Background in applied machine learning, NLP, or decision systems is preferred.
Benefits
- Weekly lunch stipend, in-office lunches, and snacks.
- Full health and dental benefits, including a separate mental-health budget.
- 100% parental-leave top-up for up to 6 months.
- Personal enrichment benefits for arts and culture, fitness and well-being, quality time, and workspace improvement.
- Remote-flexible work arrangement, offices in Toronto, New York, San Francisco, London, and Paris, and a co-working stipend.
- Six weeks of vacation, equivalent to 30 working days.
- Ability and interest to travel up to 25%.
Tech Stack
Categories
About Cohere
Cohere builds large language models and an enterprise AI platform that companies use for search, summarization, and workflow automation, delivered via API or private deployments. Founded in 2019 and headquartered in Toronto, it focuses on multilingual models, data controls, and options to run across major clouds or on-premises. The business is privately held and serves security- and compliance-sensitive organizations.