GenAI Engineer - RAG/AIML at Exponentia.ai | TopGenAIJobs

GenAI Engineer - RAG/AIML

Exponentia.ai

Delhi

3-8 years

Today

₹15–28 LPA

Full-time

Onsite

Skills Required

Gen AI

RAG

LLM

Python

Deep Learning

FastAPI

Flask

Azure Databricks

Databricks

Azure

Description

Exponentia.ai is seeking a highly skilled GenAI Technical Lead with strong experience in production-grade Generative AI implementations.

Company: Exponentia.ai

Role: GenAI Engineer - RAG/AIML

Location: Delhi, India

Experience:

3 - 8 Years

Key Skills:

AIML
Prompt Engineering
FastAPI
Flask
Deep Learning
Azure Databricks
Python
Data Modeling
ML Engineer

Qualification:

BTech
BSc
BCA

Role Focus:

Design and develop end-to-end Generative AI solutions
Build and implement RAG pipelines
Lead POC development from scratch
Implement prompt engineering strategies
Develop LLM workflows and agent systems
Build backend APIs using FastAPI/Flask
Integrate AI solutions with enterprise platforms
Deploy on Azure (Web Apps / Function Apps / VMs)
Work with Databricks for pipelines and workflows
Collaborate with stakeholders

Nice to have:

LangChain
LlamaIndex
vector DBs
MLOps
CI/CD

Other:

Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
Shape the Practice: Build a marquee capability from the ground up with full ownership
Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.