Generative AI Engineer

1 week ago


Hyderabad, Telangana, India ENTENTE SOLUTIONS LLP Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Experience : 10 Years

Work location : Bangalore, Chennai, Hyderabad, Pune Remote

Designation : GEN AI Engineer

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.


Certifications (Preferred) : GCP and/or Azure


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