Artificial Intelligence Engineer - LLM/RAG

About the Role :

We are looking for an AI Engineer to work on building and supporting data pipelines, ML systems, and GenAI (LLM/RAG) solutions.

You will collaborate with data scientists to convert raw data into features, embeddings, and AI-ready datasets, enabling scalable and high-quality AI systems

Key Responsibilities :

- Build and manage data pipelines & feature engineering workflows

- Work on ML models, embeddings, and evaluation pipelines

- Support LLM/RAG systems (chatbots, retrieval systems)

- Perform data cleaning, validation, and preprocessing

- Assist in model training, testing, and monitoring

- Write clean, scalable, and production-ready code

Required Skills :

- Strong Python & SQL

- Experience with Pandas / PySpark

- Good understanding of Machine Learning fundamentals

- Basic knowledge of NLP / Embeddings / RAG / LLMs

- Familiarity with Git and coding best practices

Good to Have :

- PyTorch / TensorFlow

- MLflow / experiment tracking

- Vector DB / Elasticsearch

- Airflow / Spark

- Basic cloud exposure

Eligibility :

- 0 to 2 years of experience in Data Science / ML / AI Engineering

- Bachelors / Masters in CS / Engineering / Mathematics

Why Join :

- Work on cutting-edge AI & GenAI systems

- Exposure to real-world ML pipelines & large-scale data systems

- Opportunity to learn and grow in a high-impact AI team