Nvidia Senior System Software Engineer Conversational AI 

India, Maharashtra, Pune 

407701200

What you’ll be doing:

• Architect, implement and optimize GPU accelerated scalable Retrieval Augmented Generation(RAG) workflow. Build a scalable microservice based architecture deployable on multi-node, multi-cloud environment

• Designing, implementing and testing domain specific agents and workflows and a framework which can support multi-turn, multi-modal, multi-user conversations with a LLM driven agents.

• Develop knowledge discovery, and reasoning capabilities including but not limited to disambiguation, clarification, and anticipation for dialogue systems

• Analyze RAG and conversational AI agent end to end accuracy and limitations and recommend the next course of action & Improvements.

• Characterize performance and quality metrics across platforms for various AI and system components

• Collaborate with various teams on new product features and improvements of existing products. Customize and integrate the conversational AI framework with other NVIDIA products

• Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews and help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment.

What we need to see:

• Bachelor's degree or Master’s degree (or equivalent experience) in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math

• 5+ years of experience

• Excellent programming skills in Python

• Hands-on experience of working with Retrieval Augmented Generation based applications

• Knowhow of Large Language model applications, agentic workflows, LLM guardrails

• Understanding of scalable deployment of LLM driven RAG and Agent applications in production environment

• Familiarity with microservices, Docker, helm, kubernetes etc.

• Experience of working on end to end Software lifecycle, release packaging & CI/CD pipeline

• Hands-on experience on conversational AI Technologies like Large Language Model(LLM), LLM function calling, Information Retrieval, Vector Databases, Embedding and Rerank models, autonomous agents etc.

• General background around version control and code review tools like Git, Gerrit, Gitlab.

• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment

Ways to stand out from the crowd:

• Strong fundamentals in Programming, optimizations and Software design

• Experience of working with open source frameworks like LangChain, LlamaIndex for building LLM driven applications

• Strong knowledge of ML/DL techniques, algorithms and tools with exposure to Language Models

• Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT

• Background with deploying machine learning models on data center, cloud, and embedded systems