Software Engineer

RAPSYS TECHNOLOGIES PTE. LTD.; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE. LTD. is seeking an experienced AI engineer to develop analytics, ML, and AI-driven solutions addressing real-world business challenges.

You will design, deploy, and scale AI products using Agentic AI frameworks, build AI-powered agents from concept to production, and collaborate across teams on cloud-based applications. You will also contribute to scalable software across frontend/backend systems, improve development workflows, and engage in continuous learning to stay

Qualifications

• Experience in Agentic AI engineering or related disciplines.
• Hands-on experience with AI techniques and frameworks.
• Familiarity with AI tools and open-source libraries.
• Knowledge of database design and cloud services.
• Familiarity with Agile methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management.
• Experience with commercial AI/workflow/data platforms (e.g., Dataiku, Databricks, Snowflake).
• Familiarity with containerisation and automated build/test/deploy pipelines.
• Commitment to continuous learning.

Responsibilities

• Develop advanced analytics, ML, and AI-driven solutions to address business challenges and generate actionable insights.
• Design, develop, and implement AI products using Agentic AI frameworks for practical business use cases.
• Build and maintain AI-powered agents and applications from proof of concept to production.
• Develop software across frontend and backend, including cloud data architecture.
• Enhance workflows with automation, reusable components, tooling, and standardized practices.
• Perform functional and performance testing using various techniques and tools.
• Collaborate with technology teams on architecture and deployment of cloud-based agents.
• Analyze business requirements and propose tech solutions with Agile delivery.
• Support product lifecycle: roadmap, development, testing, deployment, and continuous enhancement.
• Define non-functional requirements and evaluate database solutions per regulations.
• Collaborate with cross-functional stakeholders to deliver products and identify AI opportunities.

Skills

Agentic AI

Web app development

Data science

AI techniques

Communication

Tools

n8n

Northflank

Copilot in Power Automate

Dataiku

Databricks

Snowflake

Containerisation & CI/CD

Job description

Key Responsibilities

• Develop advanced analytics, machine learning, and AI-driven solutions to address business challenges and generate actionable insights.

• Design, develop, and implement AI products and applications using Agentic AI frameworks for practical business use cases.

• Build and maintain AI-powered agents and applications, taking solutions from proof-of-concept through to production.

• Develop software solutions across frontend and backend systems, incorporating cloud application and data architecture principles.

• Enhance development workflows through automation, reusable components, tooling, and standardised engineering practices.

• Perform functional and performance testing using various techniques, agents, and tools to ensure solution quality.

• Work with technology teams on the architecture, design, and implementation of cloud-based agents and applications.

• Analyse business requirements and recommend technology solutions using Agile delivery methodologies.

• Support the complete product lifecycle, including roadmap planning, development, testing, deployment, and continuous enhancement.

• Define non-functional requirements and evaluate database solutions in line with relevant regulations.

• Collaborate with cross-functional stakeholders to deliver products and solutions and identify opportunities to apply AI and automation.

What We Are Looking For

• Relevant experience in Agentic AI engineering, web application development, data science, or related disciplines.

• Hands-on experience with AI techniques, including developing and implementing skills, harnesses and Agentic AI frameworks for practical applications.

• Familiarity with AI tools, frameworks, and relevant open-source libraries.

• Knowledge of database design, implementation, and management.

• Familiarity with Agile methodologies and cloud computing platforms and services.

• Strong analytical and problem-solving skills, with the ability to translate complex business problems into effective technology solutions.

• Excellent communication and stakeholder management skills, with the ability to work across multidisciplinary teams and explain technical concepts to diverse audiences.

• Experience with commercial AI, workflow, data, and data science platforms such as n8n, Northflank, Copilot in Power Automate, Dataiku, Databricks, and Snowflake, or AI tools

• Familiarity with containerisation, orchestration, and automated build, test, and deployment pipelines.

• Commitment to continuous learning and keeping up to date with developments in AI, data science, and software engineering.