Build, test, and deploy end-to-end experiences (chat and web)
Architect and scale our product knowledge repository and catalog for performance and reliability
Develop intelligent agents that use resources and tools to provide expert-level insights
The Team Join our Productivity Tooling team , where we're building the data foundations and AI-driven workflows that supercharge our product, design, and analytics teams. Our goal? Reduce Time to Impact by embedding intelligent, agentic workflows into everyday tasks-making collaboration faster, smarter, and more seamless.
The Role As a Software Engineer , you'll be at the forefront of designing and delivering AI-powered solutions that transform how teams work. You'll collaborate closely with product managers and engineers to create agentic workflows and the building blocks that make them possible.
What You'll Do
Build, test, and deploy end-to-end experiences (chat and web) for product understanding, leveraging our product knowledge repository and catalog.
Architect and scale our product knowledge repository and catalog for performance and reliability.
Develop intelligent agents that use resources and tools to provide expert-level insights into product rollout status and performance.
What We're Looking For
Strong coding skills in Python, Go, and React .
Hands-on experience with AI coding tools and agent development .
Familiarity with ML ecosystems (platforms, libraries, frameworks) is a plus.
Excellent written and verbal communication skills.
Why Apply?
Work on cutting-edge AI and productivity tooling that impacts thousands of internal users.
Collaborate in a high-impact, fast-moving environment where innovation is the norm.
Shape the future of intelligent workflows in one of Southeast Asia's leading tech ecosystems.
Ready to build tools that redefine productivity? Apply now and help us accelerate impact across the region.
We regret to inform that only shortlisted candidates will be notified.
EA Reg No: R24125692, Emerson Palma Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544
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