GEN AI Engineer

Shift Time:- 2 to 11 PM IST

Role Overview

We are seeking a highly skilled and visionary GEN AI 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 & Lang Graph 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 Fast API.

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: Lang Chain, Lang Graph, 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.

Certifications (Preferred)

GCP and/or Azure