Senior Software Engineer - AI & Data Science

SECOND TALENT SG PTE. LTD.

Singapore

On-site

SGD 90,000 - 150,000

Full time

2 days ago
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Job summary

SECOND TALENT SG PTE. LTD. is seeking an experienced AI/ML engineer in Singapore to take AI-powered solutions from PoC to production.

You will lead analytics and AI-driven projects, design AI products on Agentic AI frameworks, and build AI agents for real business use cases. Responsibilities include architecting frontend/backend solutions, improving workflows with automation, and collaborating with cross-functional teams on Agile delivery and deployment.

Qualifications

  • Experience delivering AI/ML solutions in production environments.
  • Hands-on development of AI-powered agents and applications.
  • Familiarity with Agentic AI frameworks and related tooling.
  • Strong knowledge of data science concepts and web app development.
  • Experience with cloud platforms and Agile delivery methodologies.

Responsibilities

  • Lead development of analytics, ML, and AI-driven solutions for business insights.
  • Design, build, and deploy AI products using Agentic AI frameworks for real use cases.
  • Construct and maintain AI-powered agents from PoC to production.
  • Design software across frontend/back-end with cloud/data architecture in mind.
  • Improve engineering workflows via automation and reusable components.
  • Perform functional and performance testing to ensure quality.
  • Collaborate with cross-functional teams on architecture, requirements, and Agile delivery.
  • Support end-to-end product lifecycle from roadmap to deployment and improvement.

Skills

Agentic AI engineering
Web application development
Data science
AI frameworks (Agentic / MCPs)
Cloud computing platforms
Agile delivery
Analytical skills
Stakeholder management
Docker / Kubernetes

Tools

Docker
Kubernetes

Job description

Our client is a growing Singapore-based organisation driving AI and data science initiatives across its digital products and services. They're looking for an experienced engineer to help take AI-powered solutions from proof-of-concept through to production.

What You'll Do
  • Lead the development of advanced analytics, machine learning, and AI-driven solutions that generate actionable business insights.
  • Design, build, and deploy AI products, including applications built on Agentic AI frameworks, for real business use cases.
  • Build and maintain AI-powered agents and applications, taking them from proof-of-concept to production.
  • Design and implement software solutions across frontend and backend systems, applying cloud application and data architecture principles.
  • Improve engineering workflows through automation, reusable components, and standardised practices.
  • Conduct functional and performance testing to ensure high-quality solution delivery.
  • Partner with cross-functional and technology teams on solution architecture, requirements, and Agile delivery.
  • Support the end-to-end product lifecycle, from roadmap planning through deployment and continuous improvement.
Core Key Skills
  • Relevant experience in Agentic AI engineering, web application development, data science, or a related discipline.
  • Hands-on experience developing and implementing AI skills, harnesses, MCPs, or other Agentic AI frameworks in production applications.
  • Familiarity with AI tools, frameworks, and open-source libraries.
  • Knowledge of database design, implementation, and management.
  • Familiarity with Agile delivery methodologies and cloud computing platforms.
  • Strong analytical and problem-solving skills, able to translate business problems into technical solutions.
  • Excellent communication and stakeholder management skills across multidisciplinary teams.
Nice to Have
  • Experience with commercial AI, workflow, or data platforms such as n8n, Dataiku, Databricks, or Snowflake.
  • Familiarity with containerisation, orchestration, and automated build/test/deployment pipelines.
  • A track record of continuous learning and staying current with AI and software engineering trends.
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