Software Engineer (Agentic AI)

re-zoo-me; Singapore; Hybrid; SGD 150,000 - 190,000; Full time

Job summary

re-zoo-me is seeking a Senior Software Engineer focused on AI to design, develop, and deploy analytics and AI-driven solutions across the full product lifecycle. You will collaborate with cross-functional teams to move from PoC to production.

The ideal candidate blends strong engineering fundamentals with data science expertise, with hands-on experience in Agentic AI frameworks and building scalable web applications on cloud platforms in a fast-paced environment.

Qualifications

• Proven experience in AI engineering, web app development, or data science.
• Hands-on experience with agentic AI frameworks and deploying AI-driven solutions.
• Familiarity with AI tools, frameworks, and open-source libraries relevant to the field.
• Knowledge of database design, implementation, and cloud-based data architectures.
• Experience with Agile delivery and cloud computing platforms.
• Strong analytical and problem-solving skills with ability to translate business needs into tech solutions.

Responsibilities

• Lead the development of analytics and ML solutions to derive actionable insights.
• Design and implement AI products leveraging Agentic AI frameworks for practical business use cases.
• Build and maintain AI-powered agents and applications from PoC to production.
• Develop software across frontend and backend with cloud data architecture principles.
• Improve workflows with automation, reusable components, and tooling.
• Perform thorough functional and performance testing to ensure quality.

Skills

Agentic AI

Web app development

Data science

Cloud platforms

Agile delivery

Communication skills

Tools

n8n

Northflank

Copilot

Dataiku

Databricks

Snowflake

Job description

We are looking for a Senior Software Engineer with a strong 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 strong 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 standardized 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.
• Analyze 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 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.