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• 07 Oct 2026

  Senior AI Platform Engineer

  Singapore

  Permanent Position

  A leading Singapore-based organisation with a notable presence is seeking a hands-on Senior AI Platform Engineer to be a core builder of its enterprise-wide AI infrastructure. You'll drive the design, development and scaling of reusable AI services, APIs and SDKs, empowering engineering teams to deliver AI solutions faster in a secure, standardised, high-performance environment.
  Job Description

  • Architect, build, and maintain the core technical pillars of the AI platform, including LLM endpoints, agent runtimes, vector databases, model routers, and knowledge retrieval services.
  • Develop reusable APIs, SDKs, and implementation patterns that reduce duplication and provide a seamless, self-serve experience for teams building AI applications.
  • Ensure all AI platform components are production-ready, highly available, and scalable by implementing robust operational monitoring, troubleshooting, and performance optimization.
  • Drive continuous engineering improvements and guide teams across the organization to adopt proven architectural patterns and shared platform capabilities.
  • Partner closely with security and governance functions to embed safety guardrails, compliance, and secure delivery practices directly into the platform’s foundational code.

  Expires on 07 Dec 2026

  Posted By

  Chen Yingjun

  Tel: -

  yingjun@peoplesearch.jobs

  apply now

  Requirements

  • Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
  • Proven hands-on experience in software engineering, backend development, or platform engineering, with a strong focus on building shared enterprise services.
  • Advanced proficiency in Python, with a strong track record of building scalable APIs, backend services, and cloud automation scripts.
  • Deep technical understanding of the modern AI stack, including LLM orchestration, agent loops, context/memory management, and vector databases.
  • Solid understanding of cloud-native platforms, microservices architecture, and system integration patterns.
  • Familiarity with secure coding practices, enterprise engineering standards, and implementing governance frameworks within technical pipelines.
• 07 Oct 2026

  Technical Lead (Golang)

  Singapore

  Permanent Position

  Our client builds digital and innovation products and is hiring a hands-on Technical Lead with strong Golang expertise to lead design and development of scalable, reliable backend systems. You'll stay close to the code while setting architectural direction, driving engineering standards and mentoring engineers, working with product and engineering teams on complex, high-scale problems built to last.
  Job Description

  • Lead the architecture, design, and development of backend services using Golang.
  • Stay hands-on with coding, code reviews, debugging, and technical problem-solving.
  • Translate business and product requirements into robust technical solutions.
  • Drive system design decisions around scalability, reliability, performance, and maintainability.
  • Design and build APIs, distributed services, and event-driven systems.
  • Identify and resolve performance bottlenecks across applications, databases, and services.
  • Take ownership of production issues, troubleshooting, and root-cause analysis.
  • Establish and promote engineering best practices across development, testing, and deployment.
  • Work closely with DevOps/infrastructure teams on cloud deployment, monitoring, and operational reliability.
  • Mentor engineers through technical guidance, design reviews, and knowledge sharing.
  • Lead technical initiatives and help shape the team's engineering roadmap.

   

  Expires on 07 Dec 2026

  Posted By

  Chen Yingjun

  Tel: +65 9088 7676

  yingjun@peoplesearch.jobs

  apply now

  Requirements

  • At least 8 years of relevant experience building production-grade backend systems in Golang.
  • Strong knowledge of backend architecture, system design, and distributed systems.
  • Experience building and scaling REST APIs and backend services.
  • Strong SQL skills and experience with relational databases, preferably PostgreSQL.
  • Experience with messaging, streaming, or event-driven architectures.
  • Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS or Azure.
  • Strong understanding of scalability, resilience, availability, and failure handling.
  • Experience working on high-volume or real-time systems.
  • Demonstrated experience mentoring engineers and providing technical leadership.
  • Strong communication skills with the ability to work across engineering and product teams.