AI Engineer

Role & responsibilities

Architect, design, and deliver scalable GenAI and ML solutions across the full project lifecycle, from concept and
experimentation to production deployment and optimization.

• Design and build enterprise-grade conversational AI platforms, including RAG-based systems and agentic
  workflows, leveraging Azure OpenAI, Azure AI Foundry, and Azure AI services.
• Apply advanced prompt engineering, embeddings, vector search, fine-tuning strategies, and tool/function calling
  to optimize LLM-driven solutions.
• Design and implement AI/ML models with feedback loops, automated re-training, and fine-tuning pipelines to
  continuously improve accuracy and relevance.
• Implement retrieval-augmented generation (RAG) techniques to ensure AI outputs are accurate, contextual, and
  grounded in approved data sources.

Stay at the forefront of LLM and agentic AI advancements, incorporating modern techniques such as few-shot
learning, structured outputs, Model Context Protocol (MCP), and AI orchestration frameworks (e.g., Agent
SDKs).