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Senior AI/ML Software Engineer

Nvidia

Bengaluru

6+ years

Today

$45.8K–59.0K/yr

Full-time

Onsite

Skills Required

LLM

RAG

Agentic AI

LangChain

Azure OpenAI

Vector Database

Gen AI

Azure AI Services

Model Context Protocol

MCP

LangGraph

Semantic Kernel

Python

REST API cloud-native application development

Description

Seeking an AI/ML Software Engineer to develop enterprise AI solutions that enhance productivity and automate workflows across Engineering, Operations, and Manufacturing.

Role: AI/ML Software Engineer

Experience

- 6+ years of software engineering experience
- Solid proficiency in Python and backend application development
- Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development
- Experience integrating enterprise applications and building scalable, production-ready software solutions

Qualification

- Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field

Responsibilities

- Design, develop, and deploy Agentic AI applications using LLMs, RAG, and AI orchestration frameworks
- Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems
- Collaborate with business and IT teams to translate business requirements into AI-driven solutions
- Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation
- Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization
- Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC),



from solution design through deployment and production support

Additional Responsibilities

- Work closely with Business Analysts and Engineering teams
- Support automation of business workflows across Engineering, Operations, and Manufacturing

Nice To Have

- Experience with Agentic AI frameworks, Model Context Protocol (MCP), LangChain, LangGraph, or Semantic Kernel
- Experience with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms
- Knowledge of Engineering, PLM, Manufacturing, or Supply Chain business processes
- Experience building enterprise AI copilots, intelligent assistants, or workflow automation solutions

More Skills backend application development, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, Model Context Protocol (MCP), AI Search, enterprise AI platforms

Prepare for this role

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

Top 50 LangChain Interview Questions

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Curated LangChain interview questions covering chains, agents, and memory.

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