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Senior Applied AI Engineer

REGASK PTE. LTD.•CINTECH IV, 79 SCIENCE PARK DRIVE, 118264, Singapore
Full-timeMid Level
S$9k - S$11k
per year
👁️ 0 views•📝 0 applications•Posted 9/18/2026•Expires 10/18/2026
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Job Description

OUR COMPANY RegASK is the Agentic AI Regulatory Operating System for life sciences and consumer products companies. We believe the future of regulatory work is not just better intelligence; it is intelligent execution.

Powered by vertical AI and backed by a global network of 1,800+ regulatory subject matter experts, RegASK enables organizations to anticipate regulatory change, assess its impact, and orchestrate compliance activities across 160+ markets.

Our platform connects regulatory intelligence, decision-making, and workflow execution into a single system designed for modern regulatory teams.

Today, organizations use RegASK across Regulatory Affairs, Quality & Safety, Labeling, Packaging, R&D, and Legal to navigate increasing regulatory complexity with greater speed, confidence, and control.

By combining agentic AI, human expertise, and enterprise governance, we are helping global companies transform regulatory operations from a reactive function into a strategic business capability.

As a fast-growing global company, we are always looking for curious, ambitious people who enjoy solving meaningful problems at the intersection of AI, regulation, and enterprise transformation. If that sounds like you, we’d love to meet you.

POSITION OVERVIEW We are looking for a Senior Applied AI Engineer to join our AI team, owning the design, evaluation and delivery of LLM-powered agentic systems into the RegASK platform.

This role sits at the boundary between AI and product: you will build agent workflows in Python/Typescript and take them all the way into our Node/React platform, working side by side with the product engineering team rather than handing designs over the wall. You will own outcomes end to end.

That means the agent, the evaluation harness that proves it works, and the surface our customers actually touch.

Key Responsibilities

Design and implement agent workflows using LangGraph/LangChain, with a strong focus on orchestration, observability and debugging. Build a

Required Skills

Node.jsPythonReactRegulatory AffairsTypeScript

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