Key Deliverables
Design and deploy scalable generative AI models and applications tailored to specific business use cases.
Develop robust data pipelines to preprocess, clean, and manage large datasets required for model training and fine-tuning.
Collaborate with cross-functional engineering teams to integrate AI capabilities into existing software ecosystems.
Optimize model performance, latency, and accuracy through iterative testing and advanced prompt engineering techniques.
Maintain comprehensive documentation for model architecture, API integrations, and deployment workflows.
Monitor AI system performance in production environments to ensure reliability and continuous improvement.

Essential Requirements
Minimum of 2+ years of qualified experience in software development or data engineering.
Proficiency in Python for building scalable applications and data processing scripts.




Robust foundational knowledge of Machine Learning algorithms, frameworks, and deep learning architectures.
Experience working with Large Language Models (LLMs) and generative AI frameworks.
Ability to work onsite in Chennai, Tamil Nadu, to facilitate close collaboration with the engineering team.

Preferred Qualifications
Experience with vector databases and retrieval-augmented generation (RAG) architectures.
Familiarity with cloud platforms such as AWS, Azure, or GCP for deploying AI workloads.
Exposure to MLOps practices and CI/CD pipelines for machine learning.
Understanding of data privacy, security, and ethical AI development standards.

📌 Gen Ai Developer <> Virtusa Chennai
🏢 .
📍 Chennai