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Selby Jennings Linkedin · Posted 2mo ago

AI Engineer

Singapore, Central Singapore, Singapore

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Indexed description

Key Responsibilities

  • Design, build, and deploy LLM-powered applications for real-world use cases (e.g., document intelligence, copilots, knowledge systems)
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, including ingestion, chunking, embedding, retrieval, and reranking
  • Architect and implement end-to-end AI systems, from backend services to user-facing interfaces
  • Work with structured and unstructured data, ensuring data quality, governance, and efficient retrieval
  • Implement evaluation frameworks to measure model performance, latency, and hallucination rates
  • Collaborate with data engineers and ML engineers to productionize models and pipelines
  • Deploy and maintain systems on cloud platforms (AWS, GCP, or Azure), ensuring scalability and reliability
  • Stay up to date with the latest advancements in LLMs, agent frameworks, and AI tooling

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 3-8+ years of experience in software engineering or applied AI roles
  • Hands-on experience building LLM or GenAI applications in production environments
  • Strong understanding of RAG architectures and vector search
  • Proficiency in Python and at least one backend framework (FastAPI, Flask, or similar)
  • Experience with LLM frameworks (e.g., LangChain, LlamaIndex, OpenAI SDKs)
  • Strong problem-solving skills and ability to work in a fast-paced, evolving environment

What's on Offer

  • Opportunity to build greenfield AI systems with real business impact
  • High level of ownership and autonomy in shaping AI architecture
  • Collaborative environment with strong technical leadership
  • Exposure to cutting-edge AI use cases across industries

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