DE&A - AIML - Generative AI at Zensar | TopGenAIJobs

DE&A - AIML - Generative AI

Zensar

Bengaluru

3-5 years

Today

₹13–25 LPA

Full-time

Onsite

Skills Required

LLM

RAG

Gen AI

Agentic AI

Vector Database

Enterprise knowledge retrieval

Multi-Agent Systems

Semantic Search

Python

AI frameworks

API Integration

Event-driven AI architectures

Description

Design and develop enterprise-grade Generative AI and Agentic AI solutions.

Company: Zensar

Role: DE&A - AIML - Generative AI

Location: Bangalore, Karnataka, India

Key Skills:

Generative AI
Agentic AI
Large Language Models (LLMs)
Retrieval Augmented Generation (RAG)
Multi-Agent Systems
Semantic Search architectures
Python
AI frameworks
Vector search
Enterprise knowledge retrieval

Role Focus:

Design and develop Generative AI and Agentic AI solutions
Build AI-powered assistants, copilots, and intelligent workflow automation platforms
Implement and optimize Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Multi-Agent Systems, Semantic Search architectures
Develop AI orchestration frameworks for autonomous and collaborative AI agents
Build scalable AI pipelines and microservices using Python and modern AI frameworks
Design vector search and enterprise knowledge retrieval solutions
Fine-tune prompts, optimize inference performance, and improve AI response quality
Develop secure API integrations and event-driven AI architectures
Collaborate with product, architecture, security, and engineering teams

Additional responsibilities:

Ensure responsible AI governance, security, compliance, and observability standards

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.

Generative AI with Large Language Models

Coursera

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

Python 3 Programming Specialization

Coursera

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