Software development manager

JEET ANALYTICS PTE. LTD.; Singapore; Presencial; SGD 180.000 - 280.000; Jornada completa

Descripción de la vacante

JEET ANALYTICS PTE. LTD. in Singapore seeks a Lead AI Engineer to design, develop, and deploy scalable AI-powered products using modern frameworks and cloud technologies.

You will lead analytics, ML and AI-driven solutions, build AI agents, and collaborate across teams to translate business requirements into practical tech solutions. The role emphasizes agile methods and end-to-end product lifecycle from roadmap to production, with a focus on scalable, compliant data architectures.

Formación

• Experience with AI workflows and data platforms (Databricks, Snowflake, Dataiku, n8n, Power Automate Copilot, Northflank).
• Experience with GovTech AI tools (GovTech Desk, OPUS, Airbase/Airlift).
• Familiarity with containerisation, orchestration, and CI/CD pipelines.
• Commitment to continuous learning and emerging tech trends.

Responsabilidades

• Lead development of analytics, ML, and AI-driven solutions to solve business challenges and generate actionable insights.
• Design, develop, and implement AI products leveraging Agentic AI frameworks for practical business applications.
• Build, deploy, and maintain AI-powered agents and applications from proof-of-concept to production readiness.
• Design and develop scalable frontend and backend software systems applying cloud application and data architecture principles.
• Automate engineering and development workflows by creating reusable components, tooling, and standardized technical practices.
• Conduct functional, integration, and performance testing to ensure delivery of high-quality AI solutions.
• Collaborate with technology teams to architect, design, and implement cloud-based AI agent applications.
• Analyze business requirements and translate them into effective technology solutions using Agile methodologies.
• Support end-to-end product lifecycle activities including roadmap planning, development, testing, deployment, monitoring, and continuous improvement.
• Define non-functional requirements and evaluate database solutions ensuring compliance with regulatory standards
• Partner with cross-functional stakeholders to identify and drive AI, automation, and digital transformation initiatives

Conocimientos

Databricks

Snowflake

Dataiku

n8n

Power Automate Copilot

Northflank

GovTech Desk

OPUS

Airbase/Airlift

Containerisation

Orchestration

CI/CD Pipelines

Continuous learning

Descripción del empleo

Job Summary

We are seeking a highly motivated Lead AI Engineer (Agentic AI & Applications) to design, develop, and deploy scalable AI-powered products and software solutions that transform business requirements into measurable value using modern AI frameworks and cloud technologies.

Responsibilities

• Lead development of advanced analytics, machine learning, and AI-driven solutions to solve business challenges and generate actionable insights
• Design, develop, and implement AI products leveraging Agentic AI frameworks for practical business applications
• Build, deploy, and maintain AI-powered agents and applications from proof-of-concept to production readiness
• Design and develop scalable frontend and backend software systems applying cloud application and data architecture principles
• Automate engineering and development workflows by creating reusable components, tooling, and standardized technical practices
• Conduct functional, integration, and performance testing to ensure delivery of high-quality AI solutions
• Collaborate with technology teams to architect, design, and implement cloud-based AI agent applications
• Analyze business requirements and translate them into effective technology solutions using Agile methodologies
• Support end-to-end product lifecycle activities including roadmap planning, development, testing, deployment, monitoring, and continuous improvement
• Define non-functional requirements and evaluate database solutions ensuring compliance with regulatory standards
• Partner with cross-functional stakeholders to identify and drive AI, automation, and digital transformation initiatives

Preferred competencies and qualifications

• Experience with AI, workflow, and data platforms such as Databricks, Snowflake, Dataiku, n8n, Power Automate Copilot, Northflank, or equivalent platforms
• Experience with Whole-of-Government AI tools such as GovTech Desk, OPUS, Airbase/Airlift, or equivalent platforms
• Familiarity with containerisation, orchestration technologies, and CI/CD pipelines
• Demonstrated commitment to continuous learning and staying current with AI, software engineering, and emerging technology trends