Applied AI Engineer - Agentic Workflows (Singapore)
WFA Digital Insight
As demand for AI solutions grows, companies like Cohere are leading the charge. With a 25% increase in AI adoption expected by 2027, skilled Applied AI Engineers are in high demand. This role stands out for its focus on agentic workflows and Large Language Models, requiring a unique blend of technical expertise and business acumen. Candidates should be prepared to showcase their experience with LLMs, agent design, and prompt engineering, as well as their ability to collaborate with customers and internal teams.
Job Description
About the Role
As an Applied AI Engineer at Cohere, you will be responsible for designing, building, and deploying production-grade AI agents powered by Large Language Models. You will work closely with enterprise customers to understand their business workflows and develop scalable, production-ready agentic AI systems. Your day-to-day tasks will involve collaborating with internal teams, including product and platform teams, to shape the development of agentic systems.The role requires a deep understanding of Large Language Models, agent design, and prompt engineering. You will need to balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions. Your work will have a direct impact on the company's mission to scale intelligence and serve humanity.
Cohere is a fast-growing startup with 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, and the company values diversity of perspectives in building great products.
What You Will Do
- Work with enterprise customers 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
- Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions
- Define and apply evaluation and quality standards to measure success, failures, and regressions
- Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails
- Contribute to shared frameworks and patterns that enable consistent delivery across customers
- Collaborate with customers, product, and platform teams to shape the development of agentic systems
- Develop and maintain technical documentation for AI agents and systems
- Participate in code reviews and ensure high-quality code standards
What We Are Looking For
- 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 of experience working with LLMs or AI APIs
- Hands-on experience with modern LLMs, vector databases, and agent/orchestration frameworks
- Practical experience with RAG, agent workflows, evaluation, and performance optimization
- Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows, and failure handling
- Ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk
- Strong communication skills and 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
Benefits and Perks
- Opportunity to work on cutting-edge AI technology and contribute to the development of production-grade AI agents
- Collaborative and dynamic work environment with a team of passionate and experienced professionals
- Flexible remote work arrangements and opportunity to work with a global team
- Professional development and growth opportunities, including training and conference sponsorships
- Competitive compensation and benefits package, including health insurance and retirement plans
- Access to the latest tools and technologies, including cloud computing and AI development platforms
- Recognition and rewards for outstanding performance and contributions to the company's mission
How to Stand Out
- Make sure to highlight your experience with Large Language Models and agent design in your application, as these are key requirements for the role.
- Showcase your ability to balance rapid iteration with enterprise requirements, and provide examples of how you have evolved prototypes into stable, reusable solutions in the past.
- Be prepared to discuss your experience with prompt engineering, tool use, and multi-step agent workflows, and explain how you have applied these skills in previous roles.
- Emphasize your strong communication skills and experience leading technical discussions with customers or partners, as these are essential for success in this role.
- Research the company's mission and values, and be prepared to discuss how your skills and experience align with these, and how you can contribute to the development of production-grade AI agents.
- Consider creating a portfolio or repository of your work, including examples of AI agents or systems you have developed, to demonstrate your skills and experience to potential employers.
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