Generative AI Engineer

Role & responsibilities

Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule.

Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes.

Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow

Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc

Manage small to medium-sized projects with minimal supervision.

Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system

Advanced Python programming

Hands-on experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synaps

Building Copilot agents and embedding them into systems such as Workday, Teams, etc

Preferred candidate profile

Bachelors or masters degree in AI, computer science, Engineering, mathematics or a related field.

• 2-4 years of experience in developing and deploying AI/ML solutions to production.
• Hands-on experience with no code, low code, and SDKs for AI system development.
• Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory.
• Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems.
• Strong understanding of Agile methodology and project management.
• Ability to manage projects independently and make decisions under ambiguity.