Overview:

We’re seeking an experienced solid Generative AI Engineer to support enterprise-wide AI enablement initiatives. This role will focus on building robust GenAI and agentic AI workflows, automating workflows and working across diverse platforms like AWS, Microsoft 365, MS Copilot, and other 3rd party GenAI platforms and libraries.
The ideal candidate is highly self-driven and comfortable operating across architecture, and hands-on implementation. This is a high-impact role supporting an AI Center of Excellence (CoE) at scale.

Experience:
Over 10 years of robust software engineering experience, including 2 to 3 years of dedicated hands-on work in Generative AI and Retrieval-Augmented Generation (RAG) architecture
Over 3 years of cloud native experience preferably on AWS.
Over 5 years of hands-on experience with Python
Experience building interoperable Agentic AI Proof of Concepts using Model Context Protocol (MCP) and/or Google A2A.

Key Responsibilities:
Design and develop GenAI solutions using prompt engineering, Retrieval-Augmented Generation (RAG),



and custom pipelines
Design and develop interoperable AI agents using Model Context Protocol (MCP) and Google A2A
Automate workflows involving parsing unstructured content such as emails, documents, and web pages in to highly accurate and reliable structured content
Automate building documents using data and content from various diverse sources
Build enterprise-wide reusable services and components
Design and build MCP hosts, clients and servers
Establish frameworks for automated LLM testing
Create regression test suites to detect drift or prompt breakage
Integrate with internal and external web services using secure authentication and authorization mechanisms
Adopt and ensure secure practices to protect against prompt injections, jailbreaks, and conform to enterprise security guidelines
Experience with agile methodologies and ability to independently document user stories in the a

📌 Genai Engineer Hyderabad (India)
🏢 Aubrant Digitial
📍 India