Applied AI Engineer - Agentic Workflows (Singapore)

SingaporeRemotefull-timemid

OtherApplied Ai Engineer

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Quick Summary

Overview

Who are we? Our mission is to scale intelligence to serve humanity. 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.

Technical Tools

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Our mission is to scale intelligence to serve humanity. 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.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

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.

In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.

You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.

Responsibilities

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Work with enterprise customers and internal teams to turn business workflows into scalable, production-ready agentic AI systems.
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Design and build LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability.
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Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
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Define and apply evaluation and quality standards to measure success, failures, and regressions.
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Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
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Contribute to shared frameworks and patterns that enable consistent delivery across customers.