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AI Engineer (Software Development Engineer)

AMD· Engineering
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Hybrid (Singapore)Full-timePosted 5d ago

About the role

AI Engineer role focused on building the next generation of Agentic AI and Digital Workers. Involves end-to-end AI solution development from prompt engineering to deploying AI agents in real business environments, with emphasis on LLMs, RAG, and enterprise AI deployment.

Responsibilities

  • Design, develop, and test AI agents capable of multi-step reasoning and workflow execution
  • Build solutions leveraging LLMs, tool usage, memory, and agent orchestration frameworks
  • Implement function calling, structured outputs, and automated workflows
  • Develop Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge sources
  • Optimize AI system performance, reliability, scalability, and response quality
  • Assist in evaluating and benchmarking AI model effectiveness
  • Design effective system prompts and task-specific prompts
  • Build context retrieval and grounding strategies to improve AI accuracy
  • Develop methods to reduce hallucinations and improve consistency
  • Support the creation of evaluation frameworks and automated testing pipelines
  • Experiment with prompting techniques, reasoning patterns, and agent behaviors
  • Deploy AI solutions into real business processes and operational environments
  • Integrate AI agents with APIs, databases, enterprise platforms, and business applications
  • Collaborate with stakeholders to understand requirements and refine use cases
  • Monitor deployed systems, troubleshoot issues, and implement enhancements
  • Gather feedback and continuously improve AI solutions based on business outcomes
  • Develop and maintain production-quality Python applications
  • Implement logging, monitoring, testing, and observability practices
  • Participate in code reviews and engineering best practices
  • Support cloud deployment and containerized AI environments
  • Document technical solutions and operational procedures

Qualifications

  • Strong Python programming skills
  • Understanding of APIs, JSON, REST services, and software integration
  • Familiarity with machine learning and natural language processing fundamentals
  • Strong analytical and structured problem-solving abilities
  • Ability to learn quickly in a fast-paced and evolving AI environment
  • Strong communication and collaboration skills
  • OpenAI, Azure OpenAI, Anthropic, Google Gemini, or similar LLM platforms
  • Building LLM applications, chatbots, copilots, or AI assistants
  • Retrieval-Augmented Generation (RAG) architectures
  • Vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search
  • Agent frameworks including LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or Semantic Kernel
  • Function calling, embeddings, semantic search, and context management
  • Prompt engineering and AI evaluation methodologies
  • Cloud platforms such as Azure, AWS, or Google Cloud
  • Docker, Kubernetes, CI/CD pipelines, or DevOps practices
  • Git, software testing, and modern development workflows
  • Curious and passionate about AI innovation
  • Strong ownership mentality with a willingness to experiment
  • Customer-focused mindset and ability to work directly with users
  • Comfortable navigating ambiguity and solving complex problems
  • Team player who thrives in a collaborative environment
  • Eager to build AI systems that deliver measurable business impact
  • Degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field

Skills

Required:PythonAPIs / JSON / RESTSoftware engineering practices
Nice to have:Machine Learning / NLPPrompt engineeringRAG architecturesLLM platformsVector databasesAgent frameworksCloud / DevOps

Benefits

  • AMD benefits at a glance
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About AMD

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AMD delivers leadership high-performance and adaptive computing solutions to advance data center AI, AI PCs, intelligent edge devices, gaming, & beyond.

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