AI/ML Engineer

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD is seeking an experienced AI/Software engineer to lead the development of AI‑driven solutions and scalable agents. You will design, build, and productionize AI products across frontend and backend systems, leveraging cloud architectures and automated pipelines.

Ideal candidates combine expertise in Agentic AI, data science, and web application development with agile delivery experience.

Qualifications

• Experience in Agentic AI engineering, web application development, or related fields.
• Hands‑on with AI techniques and practical implementation of skills and frameworks.
• Familiarity with AI tools, frameworks, and open‑source libraries.
• Knowledge of database design, implementation, and management.
• Familiarity with Agile delivery and cloud services.
• Strong analytical and communication skills to translate business problems into tech solutions.

Responsibilities

• Lead development of advanced analytics, ML, and AI‑driven solutions to generate actionable insights.
• Design and implement AI products and agents for practical business use cases.
• Build and productionize agents and applications across frontend and backend systems.
• Improve workflows through automation, reusable components, and standard engineering practices.
• Collaborate with technology teams on cloud‑based agent and app architecture.
• Support end‑to‑end product lifecycle from roadmap to deployment and enhancement.

Skills

Agentic AI engineering

Web app development

Data science

Agile methodologies

Cloud platforms

AI frameworks & tools

Database design

CI/CD pipelines

Containerization

Stakeholder communication

Tools

n8n

Northflank

Copilot in Power Automate

Dataiku

Databricks

Snowflake

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.
• 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.