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AI Job Summary

Design, develop, and deploy agentic AI applications using LLMs and RAG to automate business workflows across enterprise systems like PLM and SAP. This role requires six-plus years of software engineering experience with strong Python and backend development skills, plus hands-on work with generative AI, REST APIs, and cloud-native application development. You'll collaborate with business analysts and engineering teams to build scalable AI services and integrate them into enterprise applications. Work location and compensation are not specified in the posting.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing.

What you'll be doing:

  • Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (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.

What we need to see:

  • Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field.
  • 6+ years of software engineering experience with strong 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.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Self-driven individual with the ability to work independently in a fast-paced environment.

Ways to stand out from the crowd:

  • 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.

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NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

All jobs at NVIDIA

Location

India

Job Overview
Job Posted:
1 week ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
5+ years

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