Junior Agentic AI Software Development Engineer

Location: Singapore, Singapore Department: Engineering

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 Agents. 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.

THE PERSON

Hands-on experience building real-world Agentic AI systems

Exposure to enterprise-scale AI deployment and Digital Worker platforms

Mentorship from experienced AI engineers and architects

Opportunities to work with cutting-edge LLM technologies and AI frameworks

Direct involvement in AI transformation initiatives across multiple business functions

Career growth path toward AI Engineer, Senior AI Engineer, AI Architect, or Forward Deployment Engineer roles

KEY RESPONSIBILITIES

Agentic AI Development

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

Prompt & Context Engineering

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

Forward Deployment Engineering (FDE)

Deploy AI solutions into real business processes and operational environments

Integrate AI agents with APIs, databases, enterprise platforms, and business applications

Collaborate directly 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

Software Engineering & Operations

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

PREFERRED EXPERIENCE

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

ACADEMIC CREDENTIALS

Degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field

LOCATION

Singapore

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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.

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