.

This is a hands-on, engineering-heavy

role

where you will design agent architectures, orchestrate workflows, and ensure system robustness and scalability and work on designing and implementing scalable machine learning solutions.

Your

key responsibilities

Assists in design of multi-agent AI systems (LLM, Prompt engineering, RAG, Chunking, embedding, designing agent workflow in python)

Integrate agents with APIs, databases, and external tools.

• Develop and implement predictive models to support business goals.
• Support the development of machine learning algorithms for process optimization.

Ensure data quality and accuracy through validation and cleansing techniques.

Skills

and attributes for success

Basic programming

skills

in Python.

Understanding of large language models, prompt engineering, and chaining strategies.

Knowledge of API development, integration, and authentication protocols.

End to end implementation of machine learning model in University/ Internship.

To qualify for the

role

, you must have

Minimum

qualifications

• f Diploma/ Bachelor’s degree in Computer Science/ IT/ Machine Learning/ AI/ Data Science.

Ideally, you’ll also have

Experience with LLM frameworks (Lang Chain, Llama Index)

Familiarity with multi-agent frameworks and orchestration tools (Auto Gen, CrewAI, Swarm, Hugging Face Agents).

Production or POC deployment of Machine learning models during internship or previous company

What we offer you

At EY, we’ll develop you with future-focused

skills

and equip you with world-class experiences.

We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

Learn more.

Are you ready to shape your future with confidence? Apply today.