AI engineer - Advisor

About the role

Develop prompt engineering, context management, structured-output, and function/tool-calling capabilities. Implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources, embeddings, semantic search, and vector databases. Develop reusable AI components, APIs, services, connectors, and accelerators.

What you'll do

• Design and develop AI and Generative AI applications using Large Language Models (LLMs) and modern AI frameworks
• Build and integrate AI agents and agentic workflows capable of reasoning, tool calling, task execution, and interaction with enterprise systems
• Develop prompt engineering, context management, structured-output, and function/tool-calling capabilities
• Implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources, embeddings, semantic search, and vector databases
• Develop reusable AI components, APIs, services, connectors, and accelerators

What you need

• SQL
• LLMs
• Python
• AWS
• REST APIs
• Azure
• Any graduate

Good to have

• SAP
• Office 365
• ServiceNow
• Salesforce
• CI/CD
• Microservices