Software Engineer - Agentic AI

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Manpower Staffing Services (Singapore) PTE LTD is seeking a Software Engineer focused on AI and data science to design, develop, and deploy advanced analytics, ML, and AI-driven solutions across the full product lifecycle.

You will collaborate with cross-functional teams, taking concepts from proof-of-concept to production while applying cloud-native architectures and modern engineering practices. Strong communication and agile delivery are essential.

Qualifications

• Experience in Agentic AI engineering and data science.
• Hands-on experience with AI tools and cloud-based AI solutions.
• Familiarity with Agile delivery and cloud platforms.
• Excellent problem solving and communication.

Responsibilities

• Lead the development of analytics, ML, and AI-driven solutions.
• Design and deploy AI products leveraging Agentic AI frameworks.
• Build and maintain AI-powered agents and applications from PoC to production.
• Develop software across frontend and backend with cloud data architecture.
• Improve workflows with automation, reusable components, tooling.
• Conduct functional and performance testing using varied techniques.
• Collaborate on cloud-based agent and app architecture and design.
• Analyze business requirements and propose AI-enabled tech solutions.
• Support end-to-end product lifecycle from roadmap to deployment.

Skills

Agentic AI engineering

Web app development

Data science

AI frameworks

Agile delivery

Cloud platforms

Containerization

Orchestration

Communication skills

Tools

n8n

Northflank

Copilot in Power Automate

Dataiku

Databricks

Snowflake

Job description

We are looking for a Software Engineer with focus on AI and data science to design, develop, and deploy advanced analytics, machine learning, and AI-driven solutions. You will work across the full product lifecycle - from proof-of-concept to production - collaborating with cross-functional teams to solve real business challenges. The ideal candidate brings a blend of excellent engineering fundamentals and data science expertise, with hands-on experience in Agentic AI frameworks.

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.
• Excellent 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 containerization 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.

EA License : 02C3423

EA Personnel : R22108699