AI Software Engineer

This will be a 1-year contract position based in One North.

Responsibilities

• Assess business needs and recommend appropriate technology and implementation approaches (build vs. buy and in-house vs. outsourced delivery) by collaborat6ing with Stakeholders.
• Responsible for all aspects of enterprise applications deployed on-premises or in the cloud (AWS, Microsoft Azure and/or Google Cloud Platform).
• Lead application development and enhancement projects from requirements gathering through testing, deployment and operational handover.
• Build secure APIs, system integrations and application services.
• Develop and integrate AI-enabled capabilities by using LLM APIs, RAG, AI agents, tool calling and related technologies.
• Project Management (scope, timelines, risks, dependencies, vendors and stakeholder communications).
• System integration testing and User Acceptance Testing (UAT).
• Enforce Agile, Scrum or hybrid delivery practices to support iterative development and delivery.
• Enforce DevOps practices (Git, automated testing, CI/CD, containerisation, monitoring and logging).
• Monitor system performance and fitness and recommend improvements to reliability, efficiency and user experience.
• Review emerging software, cloud and AI technologies and recommend those that provide clear business value for adoption.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or a related discipline, or equivalent practical experience.
• 5 years of relevant experience in software development, application delivery or enterprise system implementation.
• Experience in:
• C#/.NET, Java or Python.
• Developing web applications, APIs and system integrations.
• AWS, Microsoft Azure or Google Cloud Platform.
• Git, CI/CD, automated testing, Docker, microservices and DevOps practices.
• AI-enabled application development, including LLM APIs, RAG, AI agents, embeddings/vector search or agentic frameworks.
• Full SDLC and managing/coordinating application delivery projects.
• Agile, Scrum or hybrid project delivery methods.
• Planning, communication and stakeholder-management skills.

Advantages to have experiences in:

• Kubernetes, infrastructure as code or cloud-native architecture.
• AI frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI or Model Context Protocol.
• Managing vendors or system integrators.
• Cloud, Agile or project management certifications.
• Design Thinking or Service Design methodologies.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong