Full Stack AI Engineer

AIA Hong Kong and Macau; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Amplify Health is seeking an AI Engineer to design, develop, and deploy AI-powered solutions across Asia. You will work with LLMs, vector databases, and RAG pipelines, building scalable APIs and cloud-native architectures.

The role focuses on secure, governance-conscious AI delivery for healthcare, insurance, and wellness workflows. Ideal candidates have 5+ years in AI/GenAI with hands-on Azure/OpenAI, Google Gemini, OCR, and document processing experience.

Qualifications

• Experience delivering enterprise-scale AI, machine learning, or data-driven solutions.
• Hands-on with Azure Document Intelligence, OCR, and document processing platforms.
• Experience implementing RAG architectures, vector DBs, embeddings, and semantic search.
• Strong Python, REST API development, and cloud-native app development.

Responsibilities

• Design, develop, deploy, and optimize AI-powered solutions using LLMs and enterprise AI services.
• Build RAG solutions with vector databases, embeddings, and semantic search; create AI agents and chatbots.
• Develop APIs, microservices, and cloud-native architectures for enterprise AI use cases.
• Ensure security, governance, and scalable, reliable AI platform operations.

Skills

Generative AI

LLMs

Python

REST APIs

Azure Cloud

OpenAI

Azure OpenAI

Google Gemini

LangChain

Prompt Engineering

Education

Bachelor's degree in Engineering/Computer Science or related field

Tools

Azure Document Intelligence

OCR

Vector Databases

Semantic Search

GitHub CI/CD

Kubernetes

Job description

Do meaningful work with us. Every day. At Amplify Health, we’re looking for individuals with ambition, resilience and passion for healthcare, insurance, wellness and digital technology. As a fast-growing business with the ambition of making people and communities across Asia healthier, we have exciting career opportunities available to help us achieve our vision. The AI Engineer will design, develop, deploy, and optimize AI-powered solutions leveraging Large Language Models (LLMs) and enterprise AI services including OpenAI, Azure OpenAI, Google Gemini, Azure Document Intelligence, AI Search, vector databases, and intelligent automation platforms. The role is responsible for building production-grade AI applications, implementing RAG (Retrieval-Augmented Generation) architectures, integrating AI services into business workflows, ensuring security and governance, and driving innovation through emerging AI technologies. The successful candidate will work closely with product, engineering, business, and data teams to deliver scalable, secure, and high-impact AI solutions.

Responsibilities

• Design and Develop AI & Generative AI Solutions Design, develop, and deploy AI applications using OpenAI, Azure OpenAI, Gemini, and other foundation models. Build RAG solutions using vector databases, embeddings, semantic search, and knowledge management platforms. Develop AI agents, copilots, chatbots, and workflow automation solutions. Engineer prompts, evaluation frameworks, and AI orchestration pipelines to improve model performance and reliability. Create APIs, microservices, and cloud-native architectures supporting enterprise AI use cases.
• Implement Intelligent Document Processing & AI Services Develop document processing solutions using Azure Document Intelligence, OCR technologies, and other AI services. Extract, classify, validate, and transform structured and unstructured data from documents. Integrate AI services such as speech, vision, language understanding, translation, and content moderation into business applications. Design data pipelines to support AI training, retrieval, and analytics workloads. Ensure high-quality data processing and model outputs through robust validation frameworks.
• AI Platform Engineering, Security & Governance Design scalable AI architectures on Azure and multi-cloud environments. Implement AI security, responsible AI practices, governance, compliance, and data privacy requirements. Monitor model performance, cost optimization, latency, hallucination mitigation, and solution reliability. Build CI/CD pipelines, MLOps/LLMOps practices, model deployment automation, and observability frameworks. Establish best practices for AI solution lifecycle management and enterprise adoption.
• Innovation, Stakeholder Collaboration & Enablement Partner with business stakeholders to identify and prioritize AI opportunities. Provide technical leadership and recommendations on AI strategy, tooling, and emerging technologies. Conduct proof-of-concepts (POCs), pilots, and production implementations for AI initiatives. Stay current with advancements in GenAI, multimodal AI, AI agents, LLM frameworks, and industry trends.

Candidate Profile Experience and Qualifications

Over 5+ years of software engineering, cloud engineering, data engineering, or AI development experience, with at least 2+ years focused on AI/GenAI solutions. Demonstrated success in delivering enterprise-scale AI, machine learning, intelligent automation, or data-driven solutions. Proven experience with OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, or similar foundation models. Hands-on experience with Azure Document Intelligence, OCR solutions, and intelligent document processing platforms. Experience implementing RAG architectures, vector databases (Azure AI Search, Pinecone, Weaviate, ChromaDB, etc.), embeddings, and semantic search. Strong development experience in Python, REST APIs, SDK integration, and cloud-native application development. Experience with Azure services such as Azure AI Foundry, Azure AI Search, Functions, App Services, Container Apps, Kubernetes, Storage, and Key Vault. Knowledge of ML/LLM frameworks including LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, or similar. Experience with DevOps/MLOps/LLMOps practices, GitHub, CI/CD, monitoring, and cloud security. Understanding of Responsible AI, model evaluation, governance, privacy, and compliance requirements. Bachelor’s degree in Engineering, Technology, Computer Science, Artificial Intelligence, Data Science. or related field required.

Competencies & Core Characteristics

We are seeking a professional who embodies the following competencies and characteristics essential for success in our scale-up environment:

• Technical Domain Expertise: Possesses deep expertise across Generative AI, LLMs, AI agents, intelligent document processing, cloud AI services, and modern software engineering practices. Maintains current knowledge of rapidly evolving AI technologies and translates them into business value.
• Strategic Architect: Able to design scalable, secure, and future-ready AI solutions aligned with business objectives. Balances innovation with practical implementation considerations including cost, performance, governance, and maintainability.
• Unifier & Cross-Functional Influencer: Collaborates effectively across engineering, product, business, security, and operations teams. Influences stakeholders through technical credibility and communicates complex AI concepts in a clear and actionable manner.
• Data-Driven Decisiveness: Uses quantitative metrics, experimentation, evaluations, and operational insights to guide decisions. Continuously measures AI solution effectiveness and drives improvements based on data and business outcomes.
• Customer-Obsessed Advocate: Maintains a strong focus on delivering meaningful customer and business impact. Designs AI solutions that improve user experience, productivity, accuracy, and overall value realization.
• Resilient Operator: Thrives in rapidly evolving technology environments and adapts quickly to changing priorities. Demonstrates ownership, accountability, and persistence in solving complex technical challenges.
• Insatiable Curiosity: Continuously explores emerging AI trends, tools, models, and research developments. Challenges conventional approaches and actively identifies opportunities for innovation and competitive advantage.

Preferred Technical Skills Matrix Must Haves

• Generative AI & LLM Platforms
• OpenAI / Azure OpenAI
• Google Gemini
• Prompt Engineering
• LLM Application Development & Orchestration
• RAG (Retrieval-Augmented Generation) Architecture
• LangChain and/or Semantic Kernel
• REST API Integration
• Python Knowledge Retrieval & Search
• Azure AI Search / Vector Databases
• Azure Document Intelligence
• Cloud & DevOps
• Azure Cloud Services
• GitHub, Version Control, and CI/CD Pipelines
• Responsible AI, Security & Governance
• AI Security, Governance, and Compliance
• MLOps / LLMOps

Nice-to-Haves

• Agentic AI & Advanced Orchestration
• AI Agents / Agentic AI
• LangGraph
• LlamaIndex
• Multi-Model & Advanced AI Solutions
• Anthropic Claude
• Multimodal AI (Vision, Speech, Video)
• Machine Learning & Model Operations
• ML Model Development
• Fine-tuning and Model Evaluation
• MLOps / LLMOps
• Cloud-Native Deployment
• Docker
• Kubernetes
• Enterprise AI Integration
• Power Platform AI Integration
• Knowledge Graphs

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

Amplify Health is a leading health insurtech business that offers integrated, digital health technology and data analytics solutions to payors, insurers, employers, and providers. We partner with all participants in the healthcare system to transform healthcare delivery and insurance. The result is a better healthcare system and a healthier society for all. We have a bold vision: to make Asia healthier by creating and sharing value in health systems through best-in-class technology, data science and talent. Healthcare is one of the fastest-changing industries today. Globally, new heath digital technology is creating opportunities to positively shape the lives of people and communities. If you’re passionate about digital tech, health and changing healthcare for the better, join us and do meaningful work, every day.