Senior AI Engineer – Foundry R&D, Singapore at Mastercard

Job Description:

Latest job information from Mastercard for the position of Senior AI Engineer – Foundry R&D, Singapore. If the Senior AI Engineer – Foundry R&D, Singapore vacancy in Singapore matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Mastercard for the position of Senior AI Engineer – Foundry R&D, Singapore below matches your qualifications.

We are looking for a senior AI engineer to develop and maintain backend services that support generative AI capabilities across our platform.

• Develop backend services for AI features: Build and maintain backend components and APIs for generative AI use cases. Create scalable microservices in Java or Python to expose AI capabilities, handle requests, and integrate model outputs into applications.
• Integrate generative AI technologies: Work with data science and ML teams to production‑ize models and connect them to the platform. Build service interfaces, manage data formats, integrate external APIs, and implement supporting data flows such as caching or context retrieval.
• Ensure performance and reliability: Own service quality by writing tests, profiling performance, and resolving bottlenecks. Set up monitoring and alerts, improve logging, and diagnose production issues to ensure uptime and stability.
• Collaborate cross‑functionally: Work in an agile team with product, design, and data science. Participate in design discussions, refine requirements, and iterate quickly based on feedback. Help shape technical decisions for AI‑powered features.
• Mentor and uphold best practices: Guide junior engineers through code reviews and knowledge sharing. Promote clean coding, maintainability, testing discipline, and improvements to tools and processes.

• Strong backend engineering experience: 5+ years building backend systems and APIs, experience with Java (Spring Boot) or Python, and familiarity with scalable, thread‑safe server‑side development.
• AI engineering expertise: Practical experience integrating generative AI capabilities into backend systems. Comfortable working with LLM APIs (e.g., OpenAI, Anthropic), building RAG pipelines, working with vector databases and embeddings, and using agentic frameworks such as LangChain or LlamaIndex to orchestrate AI workflows.
• API and database proficiency: Skilled in designing RESTful APIs, managing authentication, and structuring data. Strong SQL knowledge and experience with relational and NoSQL databases, caching, and data‑intensive flows.
• Quality‑focused and detail‑oriented: Strong testing habits, including unit and integration tests. Familiar with error handling, logging, edge cases, and building resilient AI‑related services.
• Problem‑solving and adaptability: Able to debug complex systems, isolate issues, and adapt quickly to evolving requirements in an R&D environment.
• Collaboration and communication: Ability to work with technical and non‑technical teams, communicate requirements clearly, and contribute actively to design and planning.

• Bachelor's degree in Computer Science or related field; 5+ years of backend or full‑stack engineering in agile teams, with experience delivering complex products.
• Back‑end programming mastery: Expertise in Java, Python, or Go, and related frameworks such as Spring Boot or FastAPI. Strong Git workflows, scripting skills, and understanding of concurrency or async development.
• Web services and microservices: Experience building and consuming REST services and working in microservice architectures. Familiar with message queues, API gateways, and tools like Swagger or Postman.
• Database and data management: Strong SQL and schema design skills, use of indexes, query optimization, and ORM familiarity. Experience with NoSQL or caching technologies for performance‑heavy applications.
• Cloud and CI/CD: Experience deploying services on AWS, GCP, or Azure, using containers, serverless or orchestration tools, and CI/CD pipelines to automate builds, tests, and deployments.
• AI services and frameworks: Working knowledge of generative AI concepts including LLMs, embeddings, vector search, and prompt engineering. Hands‑on experience with AI APIs or SDKs (e.g., OpenAI, Anthropic) and familiarity with agentic orchestration tools such as LangChain or LlamaIndex.
• Testing and monitoring: Experience writing comprehensive test suites, mocking external services, and using monitoring or APM tools to track service health and performance.
• Agile and teamwork: Experience in agile workflows, breaking down stories, estimating tasks, using tools like JIRA, and communicating clearly across distributed teams.

• Advanced generative AI: Deeper experience with LLMs, prompt engineering, RAG architectures, vector databases, or building multi‑step agentic workflows using frameworks like LangChain, LlamaIndex, or AutoGen.
• Performance optimization: Background in improving API latency, scaling systems, using multi‑threading/async, or tuning database and service performance.
• DevOps and automation: Familiarity with Terraform, Kubernetes, IaC, or advanced CI/CD. Ability to contribute to deployment or automation strategies.
• Full‑stack exposure: Understanding of frontend frameworks or mobile app integration to improve end‑to‑end system design.
• Domain knowledge: Interest or experience in payments, finance, or commerce to better understand use cases for AI features.
• Continuous learning and initiative: Certifications, personal projects, open‑source contributions, or evidence of self‑driven learning.
• Achievements and leadership: Experience leading technical initiatives, mentoring peers, or owning critical system components.

All employees must comply with Mastercard's security policies and have both legal and ethical responsibility to maintain the confidentiality and integrity of information accessed.

Job Info:

• Company: Mastercard
• Position: Senior AI Engineer – Foundry R&D, Singapore
• Work Location: Singapore
• Country: SG

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Senior AI Engineer – Foundry R&D, Singapore at the office Singapore above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.