About the role
AI summarisedJoin AMD as a Junior AI Engineer to design, build, and deploy end-to-end Agentic AI solutions and RAG pipelines into live enterprise business workflows.
FablessOnsiteEngineering
Key Responsibilities
- Design and build AI agents including multi-step workflows, tool usage, and memory components
- Implement function calling and structured outputs to enhance agent reliability
- Develop RAG pipelines and context management strategies to reduce hallucinations
- Optimize AI solution reliability, latency, and response quality
- Design system prompts and engineer context windows and retrieval strategies
- Deploy AI solutions into live business workflows and integrate with APIs, databases, and ERP systems
- Work directly with stakeholders to refine use cases and monitor production systems
Requirements
- Bachelor’s Degree in Computer Science, AI, Software Engineering, or a related field
- Strong Python programming skills and understanding of APIs and JSON
- Understanding of basic ML and NLP concepts
- Experience with OpenAI or Azure OpenAI APIs
- Experience building small LLM apps, chatbots, or RAG systems
- Exposure to LangChain, LlamaIndex, or vector databases
- Understanding of function calling, embeddings, and context management
- Basic cloud or deployment experience with Azure, AWS, or Docker