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AI Engineer

KEYREPLY PTE. LTD.

Penarth

Hybrid

GBP 80,000 - 100,000

Full time

Today
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Job summary

A leading healthcare AI company is seeking an AI Agent Engineer to bridge research and real-world applications. This role focuses on developing robust production systems, optimizing AI models, and collaborating with global teams. Candidates should have 1–3 years of AI engineering experience, a top-tier computer science degree, and be proficient in Python and SQL. Knowledge of Vibe Coding and bilingual proficiency in English and Chinese is preferred. Offering a competitive salary with comprehensive benefits and opportunities for global impact.

Benefits

Attractive salary package
Premium health and medical insurance
Long service awards

Qualifications

  • 1–3 years of AI engineering experience, preferably in high-growth tech firms.
  • Bachelor's degree from a QS World Top 50 university, with highest distinction.
  • Proficiency in English and Chinese is highly preferred.

Responsibilities

  • Develop modules for agent planning, reasoning, and execution.
  • Optimize performance tuning and retrieval accuracy to meet SLAs.
  • Assist in deploying agents into production using cloud infrastructure.

Skills

AI engineering experience
Proficiency in Python
Proficiency in SQL
Vibe Coding
Backend technologies
English proficiency
Chinese proficiency

Education

Bachelor's degree in computer science or relevant disciplines
Job description
Location

Singapore / Hybrid (Supports US/AU time zones as needed)

Reports to

AI & Data Scientist Lead

Job Type

Full Time

About Us

KeyReply is a healthcare AI operating system accredited by Singapore’s Ministry of Health and trusted by 60% of public hospitals. Our low/no-code platform helps healthcare teams build and deploy safe, governed AI solutions up to 90% faster, with strong guardrails for reliability and responsible AI.

We support over 400,000 patient interactions each month across voice and digital channels. Working closely with partners like Microsoft and Meta, KeyReply is deployed in 10+ countries across Southeast Asia, the US, Australia, and Latin America, helping healthcare systems scale personalized support with confidence.

The Role

You will serve as the bridge between research and real-world application. As an AI Agent Engineer, you will turn experimental AI models into robust production systems. You will work on the backend services that enable our agents to "think" and "act" reliably in regulated healthcare environments.

Responsibilities
  • Core Agent Development: Develop the modules that allow agents to plan, reason, and execute workflows.
  • Performance Tuning: Optimize prompt engineering and RAG retrieval accuracy to meet strict Service Level Agreements (SLAs).
  • Rapid Prototyping: Use Vibe Coding and rapid iteration to demonstrate value to clients quickly.
  • Production Engineering: assist in deploying agents into production, utilizing cloud infrastructure (AWS/Azure) and CI/CD pipelines.
  • Evaluation: Build internal tools to grade agent responses against golden datasets.
Requirements
  • 1–3 years of AI engineering experience, preferably in high-growth tech firms or Series A+ startups.
  • Bachelor's degree in computer science or relevant disciplines, from a QS World Top 50 university, with highest distinction (First-class honour / Summa Cum Laude)
  • Proficiency in Python, SQL, and backend technologies (databases, caching).
  • Proficient in Vibe Coding and comfortable with the full stack for prototyping.
  • Proficiency in English and Chinese is highly preferred to support regional collaboration.
Why Join Us
  • Global Impact: Contribute to a global mission by building technology used across the US, UK, China, and APAC.
  • Comprehensive Benefits: Attractive salary package and premium health and group medical insurance, GP coverage, and long service awards.
  • Meaningful Work: Build systems that power enterprise automation and enhance patient safety for millions of users worldwide.
  • Global Exposure: Collaborate with partners such as Microsoft and support clients across multiple time zones.
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