AI Engineer

• Design, develop, and deploy scalable, secure, production-ready AI applications using LLMs and modern AI frameworks
• Build AI agents and automated workflows integrating APIs, databases, tools, and existing systems
• Develop and optimize RAG pipelines, including document processing, embeddings, vector search, and retrieval strategies
• Integrate and manage LLM providers such as OpenAI, Anthropic, and AWS Bedrock using prompt engineering, structured outputs, and function calling
• Develop and maintain backend services and RESTful APIs for AI-powered applications and integrations
• Implement AI evaluation frameworks and guardrails for accuracy, consistency, safety, reliability, sensitive-data protection, and human escalation
• Optimize AI application performance, response latency, token usage, and infrastructure costs
• Deploy, monitor, and maintain AI services using cloud infrastructure, Docker, and CI/CD pipelines
• Collaborate with product, engineering, and clinical teams to translate business requirements into AI-powered solutions
• Research and evaluate emerging AI technologies, models, and frameworks

• Degree in Computer Science, Engineering, or a related field
• 4+ years of professional software engineering experience, including practical experience building AI/LLM applications
• Strong proficiency in Python and backend development frameworks such as FastAPI or Django
• Hands-on experience integrating LLM APIs, including OpenAI, Anthropic, or similar providers
• Experience building production-oriented LLM applications using prompting, structured outputs, and tool/function calling
• Practical experience with AI agents and agentic workflows, including frameworks such as LangGraph, LangChain, or equivalent approaches
• Solid understanding of RAG architectures, embeddings, retrieval techniques, and vector databases such as pgvector, Pinecone, Milvus, or similar
• Understanding of AI evaluation, automated testing, hallucination mitigation, and prompt-injection risks
• Experience with agentic AI architectures, agent harnesses, and iterative execution loops, including tool orchestration, feedback loops, state management, and automated validation
• Experience designing RESTful APIs, integrating databases, and developing backend services
• Hands-on experience with AWS, Docker, and cloud infrastructure
• Familiarity with CI/CD pipelines, Git, and application monitoring
• Knowledge of application security, data privacy, and responsible AI development
• Strong problem-solving skills and ability to independently deliver AI features from prototype to production
• Proficiency in English, with strong written and verbal communication skills
• Ability to work in Malaysia/Singapore time (GMT+8)
• Visa sponsorship is not available

• Equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status
• Disability or special-needs accommodation