We are looking for an AI Engineer to design, build, and scale AI and Agentic AI solutions that deliver real business impact. You will work closely with architects, product owners, and engineering teams to translate requirements into secure, scalable, and production-ready systems.

This role blends applied AI development, full stack engineering, and enterprise integration, with opportunities to contribute to technical direction and continuous improvement.

Job Description

• Build end-to-end AI and agentic AI solutions across backend, frontend, APIs, and automation workflows
• Develop hybrid solutions combining LLMs, prompting, business rules, middleware, and human-in-the-loop processes
• Design and maintain integrations with enterprise systems using APIs and secure middleware
• Implement and maintain RAG pipelines, including ingestion, embeddings, retrieval, and quality checks
• Enhance user interfaces and backend services for reliability, performance, and usability
• Monitor and support production AI systems, resolving performance and scalability issues
• Apply security, testing, and deployment best practices to ensure production readiness
• Collaborate closely with cross-functional teams across engineering, data, security, and business
• Stay current with AI and agentic AI developments and contribute ideas into production

Requirements

• Degree in Computer Science, Engineering, AI/ML, or a related field
• Experience building and deploying AI-driven and full stack software solutions
• Strong skills in Python and TypeScript/Node.js, with solid SQL knowledge
• Hands-on experience with LLMs and agentic AI frameworks (e.g. LangChain, LangGraph)
• Experience with API development and system integration
• Understanding of authentication and authorization (OAuth2, JWT, SSO)
• Exposure to cloud platforms (AWS, Azure, or GCP) and CI/CD practices
• Strong problem-solving skills and ability to work in cross-functional teams
• Curiosity for applied R&D and turning new AI capabilities into real-world solutions

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV. Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Kin Long Fok

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054