Develop and roll out scalable AI/ML models and GenAI solutions within production settings

- Architect and maintain reliable ETL pipelines along with broader data workflows
- Build LLM-powered applications leveraging current-generation frameworks
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs and enterprise data sources.
- Utilize prompt engineering methods to enhance the quality of AI-generated results
- Launch models through APIs and connect them with enterprise-level systems
- Take full accountability across the process, spanning development, rollout, monitoring, and fine-tuning
- Work closely with teams across various functions to produce AI solutions that meet business needs

Requirements

- Between 8 and 15 years of broad IT experience
- More than 8 years specifically focused on AI Engineering
- Solid programming ability in Python
- Direct experience building ETL processes and data pipelines




- Strong background in ML/DL frameworks, such as TensorFlow, PyTorch, and Scikit-learn
- Working knowledge of prompt engineering practices and hands-on LLM experience
- Familiarity with LLM-focused frameworks like LangChain, LlamaIndex, and Hugging Face
- Practical experience with cloud platforms such as Azure, AWS, or GCP
- Capability using MLOps tooling, including MLflow, Kubeflow, and Airflow
- Must To Have Skills: Proficiency in Data Science.

Valuable to Have

- OpenAI / Gemini API
- LangChain / LangGraph
- RAG
- Prompt Engineering
- Machine Learning
- NLP
- TensorFlow / PyTorch
- Git / GitHub
- AWS / Azure

Application Question(s):

- What Is Your Current Salary? *
- What Is Your Expected Salary? *
- What Is Your Notice Period ? *

Work Location: Remote

📌 Senior Gen AI Engineer (India)
🏢 IIPL
📍 India