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Open nowPosted 10 days ago

AI Engineer

MyCareersFuture94,028 open roles

Pay
SGD 7,000 – SGD 10,000 a month
Where
Central, Singapore
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Your applicationOpen nowAI EngineerMyCareersFuture · Central, Singapore

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This job: posted 10 days ago

The posting

  • Work with one of the large financial services firms - be a part of global projects
  • 6-12 Months contract with a potential to extend on a long-term basis

Role Summary

The role is responsible for designing, building, and deploying enterprise-grade AI and Generative AI solutions, including Large Language Model (LLM)-powered applications, Retrieval-Augmented Generation (RAG) systems, and AI-driven workflows. The successful candidate will be responsible for completing and refining solution designs, participating in architecture governance reviews, supporting solution delivery through deployment, and collaborating with cross-functional teams to deliver scalable and secure AI solutions.

Key Responsibilities

  • Complete and refine end-to-end solution designs for AI and Generative AI initiatives.
  • Participate in and present solution designs during architecture and governance review forums (e.g. GSRC, LSRC).
  • Provide technical recommendations on where AI solutions would be more effective than Straight Through Processing (STP) and support key architectural decision-making.
  • Design, build, and deploy enterprise-grade AI and Generative AI solutions.
  • Develop LLM-powered applications, Retrieval-Augmented Generation (RAG) solutions, and agentic AI workflows.
  • Integrate AI solutions with enterprise applications, APIs, and existing technology platforms.
  • Collaborate with Product Owners, Data Engineers, Platform Engineers, Architects, and business stakeholders throughout the delivery lifecycle.
  • Support System Integration Testing (SIT) and User Acceptance Testing (UAT), ensuring solutions meet business and technical requirements.
  • Participate in Change Advisory Board (CAB) activities, release management, deployment planning, and production implementation.
  • Support production deployment, monitoring, troubleshooting, and optimisation of AI solutions.
  • Ensure solution designs align with enterprise architecture, security, governance, and compliance standards.

Required Skills & Experience

  • Proven experience in AI, Machine Learning, Data Engineering, or Software Engineering.
  • Strong Python programming skills.
  • Hands-on experience with Generative AI technologies, Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
  • Experience designing and developing enterprise AI applications.
  • Familiarity with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
  • Strong understanding of software engineering principles, REST APIs, system integration, and application architecture.
  • Experience supporting solution delivery across design, build, testing, deployment, and production support.

Preferred Skills

  • Experience with vector databases.
  • Knowledge of MLOps and LLMOps practices.
  • Experience developing agentic AI solutions and AI orchestration frameworks.
  • Experience working within enterprise or regulated environments.
  • Experience participating in architecture governance and design review forums.
  • Understanding of release management processes, including CAB and production deployment.
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