Senior Software Engineer (AI)_FSI Sector

ntt singapore pte. ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

NTT 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.

You will work across the full product lifecycle, collaborating with cross-functional teams to solve business challenges with hands-on experience in Agentic AI frameworks. The role requires strong engineering fundamentals, data science expertise, and hands-on experience implementing AI-driven solutions across frontend and backend

Qualifications

• Experience in Agentic AI engineering or related disciplines.
• Knowledge of AI techniques and hands-on experience with agentic frameworks.
• Familiarity with AI tools, frameworks, and open-source libraries in the field.

Responsibilities

• Lead the development of analytics and AI-driven solutions addressing business challenges.
• Design, develop, and implement 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-based data architectures.
• Improve workflows with automation, reusable components, tooling, and standardized engineering practices.
• Conduct functional and performance testing using various techniques and tools.
• Collaborate with tech teams on cloud-based agent architecture and implementation.
• Analyze business requirements and apply Agile delivery methodologies.
• Support end-to-end product lifecycle including roadmap, development, testing, deployment, and enhancement.
• Define non-functional requirements and assess compliant database solutions.
• Work with stakeholders to ensure successful delivery and identify AI automation opportunities.

Job description

Job Summary

We are looking for a 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 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, such as OPUS, Airbase/Airlift, etc would be advantageous.
• 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.