Bengaluru Karnataka Nvidia technical support Jobs – 109 Open Jobs Today

AI Engineer – Generative AI & Agentic AI
Softomatic Technology Services —Bengaluru, Karnataka
- ₹8,00,000 - ₹29,00,000 a year
- Full-time
- Azure
- Software troubleshooting
- Master's degree
Quick apply
Manager | Hybrid cloud | Bengaluru | Engineering | Hybrid Cloud Engineering
Deloitte —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
3D Developer Omniverse OpenUSD
Infosys Limited —Bengaluru, Karnataka
- Oracle
- CAD
- Manufacturing
Data Engineer II
HackerRank Careers —Bengaluru, Karnataka
- Master's degree
- SQL
- AWS
Quick apply
Custom Software Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Analysis skills
- C++
- Bachelor's degree
SAP Business System Analyst – EWM & Logistics Execution
NVIDIA —Bengaluru, Karnataka
- Full-time
- Master's degree
- Analysis skills
- Project management
8d
T&T | EAD | Manager | Hybrid cloud | Bengaluru | Engineering | Hybrid Cloud Engineering
Deloitte —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Senior Software Engineer - Backend (Rust)
Fortanix —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- AWS
- C++
- Health insurance
- Paid sick time
Quick apply
13d
Omniverse Digital Twin Architect
Infosys Limited —Bengaluru, Karnataka
- DevOps
- Agile
- AI
Custom Software Engineering Lead
Accenture —Bengaluru, Karnataka
- Full-time
- DevOps
- AWS
- Scripting
13d
Technology Architect
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Master's degree
Senior Staff Site Reliability Engineer
NVIDIA —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- B.Sc
2d
Customer Success Engineer
Fortanix —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- DevOps
- Java
Quick apply
Technical Account Manager
CloudSEK —Bengaluru, Karnataka
- Computer Science
- Presentation skills
- Bachelor's degree
- Flexible schedule
- Food provided
Quick apply
Platform Engineer III
CME Group —Bengaluru, Karnataka
- Full-time
- Master's degree
- APIs
- AI
10d
Application Engineer
Overview Corporation —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Software troubleshooting
- English
- Programmable logic controllers
Quick apply
GN I&E S&P Data Center Manger
Accenture —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- Computer Science
- PMP
DevRel Engineer II
HackerRank Careers —Bengaluru, Karnataka
- AWS
- Software development
- AI
Quick apply
Senior Site Reliability Engineering, Storage
NVIDIA —Bengaluru, Karnataka
- Full-time
- Computer Science
- DevOps
- Bachelor's degree
8d
Engineer II - Avionics
Newspace —Bengaluru, Karnataka
- C++
- Bachelor's degree
- Scripting
Quick apply

I want to receive the latest job alerts for nvidia technical support in bengaluru karnataka

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

nvidia technical support jobs near bengaluru karnataka

Technical Account Manager jobs in Bengaluru, Karnataka

Site Reliability Engineer jobs in Bengaluru, Karnataka

Customer Success Manager jobs in Bengaluru, Karnataka

Business Systems Analyst jobs in Bengaluru, Karnataka

Platform Engineer jobs in Bengaluru, Karnataka

Application Developer jobs in Bengaluru, Karnataka

Cloud Engineer jobs in Bengaluru, Karnataka

Data Engineer jobs in Bengaluru, Karnataka

Software Architect jobs in Bengaluru, Karnataka

Senior Software Engineer jobs in Bengaluru, Karnataka

Ai Developer jobs in Bengaluru, Karnataka

Center Manager jobs in Bengaluru, Karnataka

Avionics Engineer jobs in Bengaluru, Karnataka

Engineering Lead jobs in Mumbai, Maharashtra

Civil Engineering jobs in Aurangabad, Maharashtra

Mechanical Engineering , Government Job jobs in Delhi, Delhi

Hotel Engineering jobs in Chennai, Tamil Nadu

Engineering Manager jobs in Bengaluru, Karnataka

Engineering Lead jobs in Indore, Madhya Pradesh

Engineering Lead jobs in Kochi, Kerala

AI Engineer – Generative AI & Agentic AI

Softomatic Technology Services
Bengaluru, Karnataka

Quick apply

Job details

Full-time
₹8,00,000 - ₹29,00,000 a year

Qualifications

CI/CD
Azure
Cloud architecture
Law
Software troubleshooting
MCP
Kubernetes
Software deployment
Master's degree
Application development
Databases
Microservices
Docker
Machine learning
Continuous integration
REST
APIs
AI
Graph databases
Python
Debugging

Full job description

AI Engineer – Generative AI & Agentic AI

Client: Eximietas – NVIDIA Ecosystem
Location: Bangalore
Experience: 4–6 Years
CTC: Up to ₹28–29 LPA, depending on experience
Interview Mode: Virtual
Employment: Full-Time

Role Overview

We are looking for a highly skilled AI Engineer with strong hands-on experience in Generative AI, Large Language Models (LLMs), Agentic AI, RAG, and Azure AI technologies.

The ideal candidate should be a strong Python developer who can design, develop, optimize, and deploy AI-powered applications from concept to production. The candidate should have practical experience with modern AI frameworks such as AutoGen, OpenAI, RAG and MCP, along with strong knowledge of Azure services, databases, and production deployment.

Key Responsibilities

Design and develop scalable Generative AI and Agentic AI solutions using LLMs and modern AI frameworks.
Build AI applications using OpenAI APIs, AutoGen, RAG, MCP, and related technologies.
Develop intelligent agents and multi-agent workflows for enterprise use cases.
Design and implement Retrieval-Augmented Generation (RAG) pipelines, including data ingestion, retrieval, ranking, and response generation.
Work with structured, unstructured, and graph-based data to support AI applications.
Integrate AI solutions with Azure AI Services, Azure databases, Azure Cosmos DB/Graph capabilities, and other Azure services.
Develop high-quality, maintainable and scalable solutions using Python.
Take AI applications through the complete development lifecycle—from design and development to testing, deployment, monitoring, and production support.
Optimize AI applications for latency, throughput, scalability, reliability, and compute/resource utilization.
Troubleshoot production issues and continuously improve application performance.
Collaborate with engineering, product, and cloud teams to deliver production-ready AI solutions.

Mandatory Technical SkillsGenerative AI & LLM

Strong hands-on experience with LLMs and Generative AI
OpenAI / OpenAI APIs
AutoGen or similar Agentic AI frameworks
RAG
MCP (Model Context Protocol)
Prompt engineering and LLM application development
Understanding of AI agents and multi-agent architectures

Programming

Strong Python programming skills
Experience developing production-grade applications and APIs
Good understanding of software engineering principles, debugging, testing, and version control

Azure & Cloud

Hands-on experience with Microsoft Azure
Azure AI Services / Azure OpenAI
Experience with Azure cloud services used for AI application development and deployment
Understanding of cloud-based application architecture and deployment

Databases & Data

Experience working with Azure databases
Azure Cosmos DB / Graph DB experience
Understanding of structured, unstructured, and graph-based data
Knowledge of vector databases / embeddings and similarity search is highly desirable

AI / Machine Learning

Good understanding of Neural Networks
Familiarity with embeddings, transformers, vector search, and model inference
Understanding of AI/ML application architecture and integration

Production & Optimization Skills

The candidate must have practical experience taking applications from development to production.

Strong understanding of:

Application deployment and productionization
API and service deployment
Performance optimization
Latency reduction
Compute and memory optimization
Scalability and concurrency
Resource utilization and cost optimization
Monitoring, logging, debugging, and production troubleshooting
Designing reliable and maintainable AI services

Good to Have

Experience with Docker and Kubernetes
CI/CD and DevOps practices
REST APIs and microservices
Experience with Azure Functions, AKS, App Services, or similar Azure deployment services
Knowledge of ML/AI model evaluation and observability
Experience with vector databases such as Azure AI Search, Pinecone, Milvus, Weaviate, or similar
Experience building enterprise-grade AI assistants, copilots, or intelligent agents

Ideal Candidate Profile

We are looking for someone who is not only familiar with AI concepts but has hands-on experience building and deploying real-world AI applications.

The ideal candidate should demonstrate:

Strong Python + LLM + Agentic AI + RAG + Azure + Production Deployment experience.

Candidates who have worked primarily on traditional Machine Learning models without hands-on experience in LLMs, Agentic AI, RAG, or AI application development may not be suitable for this role.

Interview Process

Mode: Virtual

Candidates should be prepared for discussions around:

Python coding
LLM and Generative AI concepts
Agentic AI / AutoGen
RAG architecture
MCP
Azure AI services
Database and graph data handling
AI application architecture
Production deployment
Performance and cost optimization

Pay: ₹800,000.00 - ₹2,900,000.00 per year

Work Location: In person

Quick apply

Refine Your Search

nvidia technical support jobs in bengaluru karnataka

AI Engineer – Generative AI & Agentic AI

Manager | Hybrid cloud | Bengaluru | Engineering | Hybrid Cloud Engineering

3D Developer Omniverse OpenUSD

Data Engineer II

Custom Software Engineer

SAP Business System Analyst – EWM & Logistics Execution

T&T | EAD | Manager | Hybrid cloud | Bengaluru | Engineering | Hybrid Cloud Engineering

Senior Software Engineer - Backend (Rust)

Omniverse Digital Twin Architect

Custom Software Engineering Lead

Technology Architect

Senior Staff Site Reliability Engineer

Customer Success Engineer

Technical Account Manager

Platform Engineer III

Application Engineer

GN I&E S&P Data Center Manger

DevRel Engineer II

Senior Site Reliability Engineering, Storage

Engineer II - Avionics

I want to receive the latest job alerts for nvidia technical support in bengaluru karnataka

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected