Senior Agentic Engineer

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 own outcomes, not just code. You ship features by shaping problems, defining validation, and using AI agents to accelerate implementation. Your work makes the system easier to change, easier to verify, and safer to ship.

Responsibilities

1. Shape work into agent-ready plans
   • Turn fuzzy requests into clear scopes, constraints, and acceptance criteria
   • Break work into parallelizable tasks with clean interfaces
   • Decide what to validate and where risk is acceptable
2. Build and enforce closed-loop delivery
   • Make “one command verification” standard for your area
   • Improve tests so they catch real regressions and are fast enough to run often
   • Design validation that agents can run repeatedly until green
3. Lead architecture and quality gates
   • Drive architecture discussions and document key decisions briefly
   • Set boundaries, contracts, and invariants so parallel changes integrate cleanly
   • Push quality gates up the stack: behavior and validation over line-by-line diff review
4. Run multi-threaded execution
   • Manage multiple agent threads without losing coherence
   • Integrate changes frequently and reduce merge conflicts through system design
   • Build reusable prompt patterns and repo conventions for the team
5. Raise engineering taste and standards
   • Remove accidental complexity by changing seams, not polishing forever
   • Improve observability so failures are easier to diagnose
   • Mentor others on shaping, validation, and agent workflows

You Are

• Strong systems thinker who likes tradeoffs, interfaces, and invariants
• Comfortable shipping when the validation is solid
• Bias to action with disciplined risk management
• Enjoy building tools and loops that make teams faster

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 English and Chinese is highly preferred to support regional collaboration.

What success looks like in 3 to 6 months

• You ship meaningful product changes weekly with low regression rates
• You measurably reduce cycle time by improving validation and workflow
• Your area becomes easier for others and agents to change safely
• Reviews become faster and higher signal because the validation story is strong
• You raise team output by teaching patterns, not by being a bottleneck

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.