Software Development Engineer

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. THE ROLE:We are seeking a passionate and highly motivated AI Engineer to join our AI Engineering team focused on building the next generation of Agentic AI and Digital Workers.In this role, you will participate in the complete lifecycle of AI solution development, from prompt engineering and context engineering to deploying AI agents into real business environments. You will work alongside senior AI engineers, business stakeholders, and domain experts to build intelligent systems that automate workflows, enhance productivity, and transform enterprise operations.This is an excellent opportunity for early-career engineers who are excited about Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and enterprise AI deployment.KEY RESPONSIBILITIES:Agentic AI DevelopmentDesign, develop, and test AI agents capable of multi-step reasoning and workflow executionBuild solutions leveraging LLMs, tool usage, memory, and agent orchestration frameworksImplement function calling, structured outputs, and automated workflowsDevelop Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge sourcesOptimize AI system performance, reliability, scalability, and response qualityAssist in evaluating and benchmarking AI model effectivenessPrompt & Context EngineeringDesign effective system prompts and task-specific promptsBuild context retrieval and grounding strategies to improve AI accuracyDevelop methods to reduce hallucinations and improve consistencySupport the creation of evaluation frameworks and automated testing pipelinesExperiment with prompting techniques, reasoning patterns, and agent behaviorsForward Deployment Engineering (FDE)Deploy AI solutions into real business processes and operational environmentsIntegrate AI agents with APIs, databases, enterprise platforms, and business applicationsCollaborate directly with stakeholders to understand requirements and refine use casesMonitor deployed systems, troubleshoot issues, and implement enhancementsGather feedback and continuously improve AI solutions based on business outcomesSoftware Engineering & OperationsDevelop and maintain production-quality Python applicationsImplement logging, monitoring, testing, and observability practicesParticipate in code reviews and engineering best practicesSupport cloud deployment and containerized AI environmentsDocument technical solutions and operational proceduresPREFERRED EXPERIENCE:Strong Python programming skillsUnderstanding of APIs, JSON, REST services, and software integrationFamiliarity with machine learning and natural language processing fundamentalsStrong analytical and structured problem-solving abilitiesAbility to learn quickly in a fast-paced and evolving AI environmentStrong communication and collaboration skillsOpenAI, Azure OpenAI, Anthropic, Google Gemini, or similar LLM platformsBuilding LLM applications, chatbots, copilots, or AI assistantsRetrieval-Augmented Generation (RAG) architecturesVector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI SearchAgent frameworks including LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or Semantic KernelFunction calling, embeddings, semantic search, and context managementPrompt engineering and AI evaluation methodologiesCloud platforms such as Azure, AWS, or Google CloudDocker, Kubernetes, CI/CD pipelines, or DevOps practicesGit, software testing, and modern development workflowsCurious and passionate about AI innovationStrong ownership mentality with a willingness to experimentCustomer-focused mindset and ability to work directly with usersComfortable navigating ambiguity and solving complex problemsTeam player who thrives in a collaborative environmentEager to build AI systems that deliver measurable business impactHands-on experience building real-world Agentic AI systemsExposure to enterprise-scale AI deployment and Digital Worker platformsMentorship from experienced AI engineers and architectsOpportunities to work with cutting-edge LLM technologies and AI frameworksDirect involvement in AI transformation initiatives across multiple business functionsCareer growth path toward AI Engineer, Senior AI Engineer, AI Architect, or Forward Deployment Engineer rolesACADEMIC CREDENTIALS:Degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related technical fieldLOCATION:Singapore#LI-MD1 Benefits offered are described:  AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.