Experience : 10+ Years.

Work location : Bangalore, Chennai, Hyderabad, Pune Remote.

Shift Time : 2 to 11 PM IST.

Role Overview :

We are seeking a highly skilled and visionary AI Solution Designer and Implementor to lead the design, development, and deployment of advanced AI/ML solutions across Retail Analytics Engineering Platforms.

This role demands deep expertise in Generative AI, LLMs, Agentic AI, and MLOps practices, with a strong focus on delivering scalable, production-ready systems.

Key Responsibilities :

- Architect and implement enterprise-scale AI/ML solutions including Generative AI, Agentic systems, and LLM applications ( including fine-tuning).

- Design and deploy intelligent AI agents using frameworks like LangChain & LangGraph to enhance user experience and operational efficiency.

- Build and optimize NLP/document processing pipelines using GCP/Azure tech stack.

- Lead the development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures.

- Establish and maintain robust LLMOps/MLOps practices for model lifecycle management.

- Develop and deploy models using PyTorch, MLFlow, and FastAPI.

- Ability to Implement scalable ML infrastructure, Kubernetes, and CI/CD automation (GitHub Actions).

- Collaborate with cross-functional teams to drive cloud adoption and IT infrastructure modernization.

Required Skills & Technologies :

- AI/ML Tools : LangChain, LangGraph, PyTorch, MLFlow,.

- Cloud Platforms : GCP Vertex AI, Kubernetes.

- DevOps & Automation : GitHub Actions.

Qualifications :

- Bachelors degree in Computer Science, Engineering, or related field.

- 10+ years of experience in IT systems and AI/ML solution delivery.

- Proven track record in designing and deploying enterprise AI solutions.

- Strong understanding of cloud-native architectures and scalable AI infrastructure.