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Open nowPosted 24 days ago

Senior Software Engineer – AI & Data Science

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 12,000 a month
Where
Singapore
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Your applicationOpen nowSenior Software Engineer – AI & Data ScienceMyCareersFuture · Singapore
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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 24 days ago

The posting

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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