jobs in Optimum Solutions Pte Ltd

Optimum Solutions Pte Ltd Hiring! Full Time AI Engineer (LLM-Prompt Engineer) in - Ricebowl

AI Engineer (LLM-Prompt Engineer)

Optimum Solutions Pte Ltd

Undisclosed

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

Our client is a leading global financial services organization undergoing large-scale digital transformation. They are looking for an AI Engineer to design, develop, and deploy enterprise-grade AI and Generative AI solutions that enhance business operations, improve customer experiences, and drive innovation across the organization.


Responsibilities

  • Design, develop, and deploy AI/ML and Generative AI applications for enterprise use cases.
  • Build and maintain scalable AI pipelines, APIs, and production-ready machine learning solutions.
  • Develop Retrieval-Augmented Generation (RAG), AI agents, and LLM-powered applications.
  • Fine-tune, evaluate, and optimize large language models (LLMs) for performance, security, and cost efficiency.
  • Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into AI solutions.
  • Integrate AI solutions with cloud platforms, enterprise systems, and data platforms.
  • Implement AI governance, model monitoring, security, and responsible AI best practices.


Requirements

  • 8+ years of software engineering experience, with at least 3 years focused on AI/ML engineering.
  • Strong experience with Python and machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Hands-on experience with Large Language Models (LLMs), prompt engineering, RAG, vector databases, and AI orchestration frameworks (e.g., LangChain or LlamaIndex).
  • Experience deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud.
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
  • Familiarity with MLOps, CI/CD pipelines, containerization (Docker/Kubernetes), and model deployment.
  • Experience working with SQL, NoSQL, APIs, and modern data engineering practices.
  • Strong understanding of AI security, governance, and responsible AI principles.

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