# Senior AI and ML Engineer, Agentic AI Systems

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Vietnam-Hanoi/Senior-AI-and-ML-Engineer--Agentic-AI-Systems_JR2020867?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c9bbc2d1-ef4

## Description

We are seeking a Senior AI and ML Engineer to work on Agentic AI Systems at NVIDIA.

You will design and develop AI-powered systems combining large language models, retrieval architectures, knowledge systems, and agentic workflows. Your responsibilities will include:

- Developing capabilities that enable AI systems to reason across multiple information sources and generate high-quality recommendations.

- Building intelligent workflows that continuously improve through evaluation, feedback, and experimentation.

- Exploring emerging approaches in AI agents, planning systems, memory architectures, reasoning frameworks, and autonomous workflows.

- Collaborating with software engineers to transform research concepts into reliable production capabilities.

- Designing and executing experiments to improve model accuracy, robustness, and user trust.

- Building evaluation, benchmarking, and testing frameworks for AI systems.

- Designing and optimizing retrieval architectures, semantic search systems, vector databases, and knowledge pipelines.

Requirements:

- BS, MS, or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.

- 5+ years of professional experience in software engineering with proficiency in Python.

- Experience building AI/ML systems in production environments.

- Hands-on experience with large language models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or intelligent software systems.

- Experience designing experiments and evaluating model performance.

- Strong understanding of machine learning fundamentals and modern AI system architectures.

- Familiarity with retrieval systems, embeddings, vector databases, semantic search technologies, or information retrieval.

Preferred qualifications include:

- Experience building production AI copilots, agents, or autonomous systems.

- Experience designing evaluation frameworks, benchmark suites, or model comparison pipelines.

- Expertise in retrieval systems, semantic search, ranking systems, recommendation systems, or knowledge graphs.

- Experience improving AI accuracy through retrieval optimization, workflow design, and prompt engineering.

The ideal candidate combines strong machine learning intuition with rigorous experimentation, quantitative analysis, and software engineering excellence.

## Skills

### Required
- Python
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI agents
- Machine Learning
- Artificial Intelligence
- Software Engineering
- Retrieval Systems
- Embeddings
- Vector Databases
- Semantic Search Technologies
- Information Retrieval

### Nice to have
- Production AI copilots
- Agents
- Autonomous Systems
- Evaluation Frameworks
- Benchmark Suites
- Model Comparison Pipelines
- Retrieval Optimization
- Workflow Design
- Prompt Engineering

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Vietnam-Hanoi/Senior-AI-and-ML-Engineer--Agentic-AI-Systems_JR2020867?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)