# Senior AI Engineer

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

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-AI-Engineer_JR2027194?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8666adc6-7b6

## Description

We are hiring a Senior AI Engineer to build and operate production AI systems and infrastructure.

In this role, you will work on AI agents, MCP servers, agent evaluation, and Temporal-based workflow frameworks.

**Responsibilities**

- Build and deploy AI agents that use tools, call services, manage context, and execute multi-step tasks.

- Develop and maintain MCP servers and tool integrations used by internal AI systems.

- Build workflow infrastructure using Temporal or similar orchestration frameworks.

- Design and implement agent evaluation flows, test suites, quality metrics, and feedback loops. Design backend services, APIs, persistence layers, and platform components for AI applications.

- Work with SQL and NoSQL databases, queues, distributed systems, and cloud-native infrastructure.

- Build CI/CD pipelines, Docker images, Kubernetes deployments, monitoring, and operational tooling.

- Debug production issues across services, workflows, agents, tools, models, and infrastructure.

- Collaborate with engineering, product, infrastructure, and data science teams to turn requirements into reliable systems.

**Requirements**

- 5+ years of experience and a practical understanding of how AI agents are built, including tool use, state, context, and multi-step execution.

- Bachelors degree or equivalent experience.

- Experience with at least one open-source agent or LLM application framework, such as LangChain/LangGraph.

- Strong software engineering background, especially in backend development.

- Experience with distributed systems, workflow orchestration, and production service design.

- Hands-on experience with SQL and NoSQL databases.

- Experience with Docker, Kubernetes, CI/CD pipelines, and production deployment workflows.

**Nice to Have**

- Experience working with both traditional machine learning systems and contemporary LLM or agentic applications.

- Excellent judgment about when agent-based approaches are appropriate,and when a simpler solution is more effective.

- Experience making AI behavior measurable, observable, explainable, and safe in production.

- Experience optimizing inference systems for performance, infrastructure efficiency, and operating cost.

- A history of guiding engineers or heading cross-departmental technical projects.

## Skills

### Required
- AI agents
- MCP servers
- Temporal-based workflow frameworks
- Backend development
- Distributed systems
- Workflow orchestration
- SQL and NoSQL databases
- Docker
- Kubernetes
- CI/CD pipelines

### Nice to have
- Traditional machine learning systems
- LLM or agentic applications
- Agent-based approaches
- Inference systems optimization

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-AI-Engineer_JR2027194?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)