Gen AI Engineer

Role Summary

We are seeking a GenAI Engineer to design and implement custom Generative AI solutions using Azure OpenAI, and integrate them into Power Apps, Power Automate, and enterprise workflows.

This role goes beyond Copilot Studio and AI Builder, focusing on custom LLM orchestration, RAG architectures, and secure enterprise AI integration with Power Platform

Key Responsibilities

Generative AI Engineering:

Design and build custom GenAI services using Azure OpenAI, AWS Bedrock etc.

Implement Retrieval-Augmented Generation (RAG) using enterprise data sources

Build and manage embedding pipelines for documents and structured data

Develop advanced prompt strategies, function calling, and tool orchestration

Implement hallucination control, grounding, and response validation

AI Governance & Operations

Define AI evaluation metrics and testing strategies

Implement prompt versioning and model governance

Ensure compliance with Responsible AI and enterprise security standards

Create technical documentation and solution design artifacts

Required Skills & Experience

7+ years of software engineering experience (Python / C# / Node.js)

Hands-on experience with Azure OpenAI Service

Strong Understanding Of

LLM behavior and limitations

Embeddings and similarity search

RAG architectures

Experience integrating APIs with Power Platform

Experience building Power Platform solutions. PowerApps, Copilot Studio, Dataverse and Power Automate experience.

Nice to have Experience: LangChain / Semantic Kernel / LlamaIndex