Full Stack AI Engineer
Amplify Health
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Job summary
Amplify Health is hiring an AI Engineer to design, develop, and deploy AI-powered solutions using major foundation models and enterprise AI services. You will build RAG architectures, vector databases, and AI agents to deliver scalable and secure AI workflows across business domains.
The role emphasizes collaboration with product, engineering, and data teams, focusing on governance, data privacy, and production-grade deployments.
Qualifications
- Bachelor’s degree as specified in the education section.
- Extensive experience with enterprise AI platforms and AI services.
- Hands-on experience with RAG architectures and vector databases.
- Strong Python development and cloud-native application skills.
Responsibilities
- Design, develop, and deploy AI applications using major foundation models.
- Build RAG solutions with vector databases, embeddings, and semantic search.
- Develop AI agents, copilots, chatbots, and workflow automation.
- Engineer prompts, evaluation frameworks, and orchestration pipelines.
- Create APIs, microservices, and cloud-native architectures.
- Develop document processing solutions using Azure Document Intelligence and OCR.
- Extract, classify, validate, and transform data from documents.
- Integrate AI services (speech, vision, translation) into apps.
- Design data pipelines for AI training, retrieval, and analytics.
- Ensure data quality and model outputs with validation frameworks.
- Design scalable AI architectures on Azure and multi-cloud.
- Implement AI security, governance, and privacy controls.
- Monitor performance, cost, latency; optimize and mitigate hallucinations.
- Build MLOps/LLMOps, CI/CD, observability pipelines.
- Establish lifecycle best practices for AI solutions.
- Partner with stakeholders to identify AI opportunities.
- Provide technical leadership on AI strategy and tooling.
- Conduct POCs, pilots, and production implementations.
- Stay updated with GenAI trends and industry developments.
Education
Tools
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.
- 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.
- 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.
- 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.
- 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.
- 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.
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, and research developments. Challenges conventional approaches and actively identifies opportunities for innovation and competitive advantage.
- OpenAI / Azure OpenAI
- Google Gemini
- Prompt Engineering
- RAG (Retrieval-Augmented Generation) Architecture
- LangChain and/or Semantic Kernel
- REST API Integration
- Python
- Azure AI Search / Vector Databases
- Azure Document Intelligence
- Azure Cloud Services
- GitHub, Version Control, and CI/CD Pipelines
- AI Security, Governance, and Compliance
- MLOps / LLMOps
- AI Agents / Agentic AI
- LangGraph
- LlamaIndex
- Anthropic Claude
- Multimodal AI (Vision, Speech, Video)
- ML Model Development
- Fine-tuning and Model Evaluation
- MLOps / LLMOps
- Docker
- Kubernetes
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.
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