7 months ago
Singapore, SingaporeMid Level
H1B Sponsor
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 is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with companies to deliver seamless integration, full customization, and easy-to-use solutions for their workforce and customers. Our all-in-one platform offers enterprises the highest levels of data security, privacy and optionality to deploy across all major cloud providers, private cloud environments, or on-premises. HQ: 171 John Street, 2nd Floor, Toronto, ON M5T 1X3