Generative AI Engineer

Bachelor's or master's degree in computer science, Data Science, AI/ML, information technology, or a related field.

Overall 8+ years combined experience in IT, 5+ years of experience in AI/ML solution engineering with at least 3+ years focused on Generative AI.

Strong experience with LLMs and SLMs, including integration of open source models, prompt engineering, evaluation, and fine-tuning techniques.

Proven track record using LangChain, Semantic Kernel, RAG, AI Agents, and MCP (Model Context Protocol) in production environments.

Solid understanding and Hands-on experience with vector databases, embeddings, and Azure AI Search integration for semantic retrieval.

Hands-on experience with tools like MLFlow, Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Cognitive Services, Azure AI Foundry, Azure Machine Learning etc.

Familiarity with MLOps, CI/CD pipelines, and responsible AI practices.

Experience deploying AI models on Azure Kubernetes Services (AKS) or Azure Container Apps.

Understanding of security and compliance in AI deployments (e.g., data privacy, bias detection).

Python

Excellent problem-solving, analytical, and critical thinking skills.

Strong communication and collaboration skills to work effectively in a team environment.

A passion for innovation and a desire to push the boundaries of what's possible with Gen AI.

Relevant industry certifications, such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc. is a plus.