AI Engineer

Company Summary

A leading telecommunications and digital services provider is accelerating its enterprise-wide AI transformation, investing in Agentic AI capabilities to enhance business operations, customer experiences, and digital innovation. The organisation is building next-generation AI solutions and fostering a culture of innovation to unlock the potential of AI across its business.

Role & Responsibilities

• Design, develop, and deploy end-to-end AI and Agentic AI applications using LLMs, AI frameworks, and Python/Node.js runtimes.
• Build and integrate AI agents with enterprise systems using MCP, A2A, RESTful APIs, and other integration frameworks.
• Develop full-stack solutions spanning frontend, backend, LLM orchestration, prompt engineering, and human-in-the-loop workflows.
• Collaborate with solution architects, AI engineers, and software engineering teams to translate business requirements into secure, scalable, production-ready solutions.
• Enhance user interfaces and AI-driven applications across multiple channels, including voice/telephony, web messaging, mobile applications, and WhatsApp.
• Monitor and optimise production AI agents, applications, and pipelines, ensuring reliability, performance, scalability, and security.
• Support and enhance existing AI solutions across enterprise, consumer, IT, network, and corporate functions, including marketplace recommendation systems.
• Conduct applied R&D to explore emerging Agentic AI technologies and develop solutions for new or complex business challenges.

Job Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data, or a related discipline.
• At least 4 years of experience developing and deploying software and AI solutions, with exposure to Agentic AI.
• Proficiency in Python and/or TypeScript/Node.js or other functional programming languages.
• Hands-on experience with Agentic AI frameworks such as OpenAI Agents SDK, LangChain, or equivalent.
• Strong understanding of LLM integration, orchestration, and prompt engineering.
• Experience with system integration technologies such as RESTful APIs and gRPC; knowledge of MCP is an advantage.
• Familiarity with middleware, SSO, authentication, and access control technologies, including OAuth2 and JWT.
• Experience with version control tools such as GitHub, GitLab, or Bitbucket.
• Exposure to cloud platforms such as Azure, AWS, or GCP.
• Strong interest in applied R&D and keeping up with emerging AI technologies.
• Good problem-solving and communication skills, with the ability to work effectively across multidisciplinary teams.
• Experience building secure, scalable, enterprise-grade applications and integrations.

If you're interested in the above role, click on the apply function now! Alternatively, you can contact Mon Fei at [Confidential Information] for a confidential discussion. Only shortlisted candidates will be notified.

Morgan McKinley Pte Ltd

Chow Mon Fei

EA Licence No: 11C5502

EA Registration No. R1877534