Agentic AI Engineer: Build AI Agents & Production Apps

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

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.