WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.THE ROLE:

We are hiring a Junior AI Engineer to support end-to-end Agentic AI development — from prompt engineering and context engineering to production deployment.

You will design, build, and deploy AI agents integrated with enterprise systems, while working closely with users in real-world environments (Forward Deployment Engineering).

KEY RESPONSIBILITIES:

1. End-to-End Agentic AI Development

• Design and build AI agents (multi-step workflows, tool usage, memory)
• Implement function calling and structured outputs
• Develop RAG pipelines and context management strategies
• Optimize reliability, latency, and response quality

1. Prompt → Context Engineering

• Design system and task prompts
• Engineer context windows and retrieval strategies
• Reduce hallucinations and improve consistency
• Develop evaluation and testing frameworks

1. Forward Deployment Engineering (FDE)

• Deploy AI solutions into live business workflows
• Integrate with APIs, databases, ERP systems
• Work directly with stakeholders to refine use cases
• Monitor, debug, and continuously improve production systems

PREFERRED EXPERIENCE:

• Strong Python programming skills
• Understanding of APIs, JSON, and basic ML/NLP concepts
• Structured problem-solving mindset
• Experience with OpenAI / Azure OpenAI APIs
• Built small LLM apps, chatbots, or RAG systems
• Exposure to Lang Chain, Llama Index, or vector databases
• Understanding of function calling, embeddings, context management
• Basic cloud or deployment experience (Azure/AWS/Docker)

ACADEMIC CREDENTIALS:

• Bachelor’s Degree in Computer Science / AI / Software Engineering or related field

LOCATION:

Singapore

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.

THE ROLE:

We are hiring a Junior AI Engineer to support end-to-end Agentic AI development — from prompt engineering and context engineering to production deployment.

You will design, build, and deploy AI agents integrated with enterprise systems, while working closely with users in real-world environments (Forward Deployment Engineering).

KEY RESPONSIBILITIES:

1. End-to-End Agentic AI Development

• Design and build AI agents (multi-step workflows, tool usage, memory)
• Implement function calling and structured outputs
• Develop RAG pipelines and context management strategies
• Optimize reliability, latency, and response quality

1. Prompt → Context Engineering

• Design system and task prompts
• Engineer context windows and retrieval strategies
• Reduce hallucinations and improve consistency
• Develop evaluation and testing frameworks

1. Forward Deployment Engineering (FDE)

• Deploy AI solutions into live business workflows
• Integrate with APIs, databases, ERP systems
• Work directly with stakeholders to refine use cases
• Monitor, debug, and continuously improve production systems

PREFERRED EXPERIENCE:

• Strong Python programming skills
• Understanding of APIs, JSON, and basic ML/NLP concepts
• Structured problem-solving mindset
• Experience with OpenAI / Azure OpenAI APIs
• Built small LLM apps, chatbots, or RAG systems
• Exposure to Lang Chain, Llama Index, or vector databases
• Understanding of function calling, embeddings, context management
• Basic cloud or deployment experience (Azure/AWS/Docker)

ACADEMIC CREDENTIALS:

• Bachelor’s Degree in Computer Science / AI / Software Engineering or related field

LOCATION:

Singapore

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.