AI & Data Science Senior Software Engineer

re-zoo-me

Singapore

On-site

SGD 180,000 - 240,000

Full time

12 days ago
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Job summary

re-zoo-me is seeking a Senior Software Engineer focused on AI and data science to design, develop, and deploy analytics, ML, and AI-driven solutions across the full product lifecycle.

You will collaborate with cross-functional teams, implement Agentic AI frameworks, build scalable cloud-native applications, and drive automation and best practices.

The ideal candidate combines strong software engineering fundamentals with hands-on data science experience and a commitment to continuous learning.

Qualifications

  • Experience in Agentic AI engineering or related fields.
  • Hands-on AI techniques and practical framework experience.
  • Familiarity with AI tools, frameworks and open-source libraries.
  • Knowledge of database design, implementation and management.
  • Familiarity with Agile delivery methodologies and cloud services.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Lead the development of advanced analytics, ML, and AI-driven solutions.
  • Design, develop, and implement AI products using Agentic AI frameworks.
  • Build and maintain AI-powered agents and applications from PoC to production.
  • Design, develop, and implement software across frontend and backend with cloud data architecture.
  • Improve workflows through automation, reusable components, tooling, and best practices.
  • Conduct functional and performance testing using varied techniques and tools.
  • Collaborate with tech teams on cloud-based agent and app architecture.
  • Analyze requirements and apply Agile delivery methodologies.
  • Support end-to-end product lifecycle including roadmap, testing, deployment and enhancement.
  • Define non-functional requirements and assess compliant databases.

Skills

Agentic AI
Web app dev
Data science
Cloud platforms
Agile delivery

Job description

re-zoo-me is seeking a Senior Software Engineer focused on AI and data science to design, develop, and deploy analytics, ML, and AI-driven solutions across the full product lifecycle.

You will collaborate with cross-functional teams, implement Agentic AI frameworks, build scalable cloud-native applications, and drive automation and best practices.

The ideal candidate combines strong software engineering fundamentals with hands-on data science experience and a commitment to continuous learning.

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