Top Tech Jobs & Startup Jobs in Singapore

Design, build, and operationalise large-scale cloud data pipelines (batch and streaming) using Databricks/Snowflake and cloud platforms to support reporting, automated systems and AI/ML teams. Administer cloud data platforms, optimise SQL/storage, implement CI/CD, IaC, containerisation and serverless solutions, and collaborate with clients, partners and internal teams to scale data engineering deployments.

Plans, leads, and documents software projects across the SDLC, translating business needs into requirements and user stories. Manages project execution, testing, stakeholders, vendors, timelines, quality, and costs. Evaluates solutions, addresses client concerns, and coaches junior team members while ensuring project requirements are met.

Design, build, deploy and govern AI solutions (LLMs, agentic systems, MLOps). Collaborate with clients and partners, deliver end-to-end AI projects, and continuously upskill in AI engineering and deployment best practices.

Support consulting teams by conducting primary and secondary research, analyzing data, synthesizing findings, producing clear written outputs and presentations, communicating with stakeholders, and contributing to project delivery in a team environment.

As a Senior AI Engineer, you will utilize AI engineering and delivery expertise to drive transformative projects for clients while building relationships and expanding your knowledge.

The AI Engineer will solve complex problems using AI engineering expertise, maintain client relationships, and continuously improve skills in AI and data.

The Lead AI Engineer will solve complex AI challenges, mentor a team, and develop client relationships while delivering technical thought leadership.

The role involves analyzing client needs for Epic systems, overseeing implementation, optimizing health IT solutions, and managing stakeholder relationships.

Partner with clients to design, build, and deploy production-grade, cloud-native applications that integrate AI and data. Rapidly prototype, iterate, and productionise solutions, collaborate with product and AI teams, and act as a trusted technical advisor while delivering end-to-end solutions.

The Senior Outsystems Developer will develop web and mobile applications, apply architectural principles, conduct testing, and guide other engineers.