Software Engineer - #1597

JOBSTER PRIVATE LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

JOBSTER PRIVATE LTD. in Singapore is seeking an experienced AI engineer to lead the development of advanced analytics, ML, and AI-driven solutions that address business challenges and deliver actionable insights.

You will design, develop, and implement AI products including applications leveraging Agentic AI frameworks, building agents and production-ready solutions, and collaborating across frontend/backend teams to apply cloud principles.

Qualifications

• Experience in Agentic AI engineering, web application development, data science, or related disciplines.
• Hands-on experience developing and implementing AI skills, harnesses, MCPs, and Agentic AI frameworks.

Responsibilities

• Lead development of advanced analytics, ML, and AI-driven solutions to generate actionable insights.
• Design, develop, and implement AI products and applications using Agentic AI frameworks for practical use cases.
• Build and maintain AI-powered agents and applications from proof-of-concept to production.
• Develop software solutions across frontend and backend with cloud data architecture in mind.
• Improve development workflows with automation, reusable components, tooling, and standard practices.
• Perform functional and performance testing using diverse techniques and tools for quality delivery.
• Collaborate with tech teams on cloud-based agent and application architecture and implementation.
• Analyse business requirements and recommend tech solutions using Agile delivery methodologies.
• Support end-to-end product lifecycle including roadmap, development, testing, deployment, and enhancements.
• Define non-functional requirements and assess database solutions in compliance with regulations.
• Work with cross-functional stakeholders to deliver products and explore AI/automation opportunities.

Skills

Agentic AI engineering

Web application development

Data science

Agile methodologies

Cloud computing

Analytical skills

Communication

AI frameworks

Problem solving

Continuous learning

Tools

n8n

Northflank

Copilot in Power Automate

Dataiku

Databricks

Snowflake

GovTech Desk

OPUS

Airbase/Airlift

Job description

Key Responsibilities

• Lead the development of advanced analytics, machine learning, and AI-driven solutions to address business challenges and generate actionable insights.

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

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

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

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

• Conduct comprehensive functional and performance testing using a range of techniques, agents and tools to ensure high-quality solution delivery.

• Collaborate with technology teams on cloud-based agent and application architecture, design, and implementation.

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

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

• Define non-functional requirements and assess database solutions in compliance with relevant regulations.

• Work closely with cross-functional stakeholders to ensure successful delivery of products and solutions and identify opportunities to apply AI and automation in the business.

What we are looking for

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

• Knowledge of AI techniques, including hands‑on experience developing and implementing skills, harnesses, MCPs, Agentic AI frameworks in practical applications.

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

• Knowledge of database design, implementation, and management.

• Familiarity with Agile delivery 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 collaborate effectively 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, Snowflake, etc; or Whole-of-Government AI tools, such as GovTech Desk, OPUS, Airbase/Airlift, etc would be advantageous.

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

• Demonstrated commitment to continuous learning and keeping current with the latest developments in AI, data science, and software engineering.