> Markdown version of [/jobs/ext/1926029-ai-ml-applications-engineer](https://www.wearedevelopers.com/jobs/ext/1926029-ai-ml-applications-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI/ML Applications Engineer

- **Company:** Analog Devices
- **Location:** Wilmington, NC, United States
- **Experience:** Expert
- **Salary:** $116,960.0 - $160,820.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Analog Electronics, Automation of Tests, Microsoft Azure, Bash Shell, Command-Line Interface, Cloud Computing, Configuration Management, Computer Programming, Databases, Computer Engineering, Continuous Delivery, Continuous Integration, Database Design, Software Debugging, Linux, Electronic Design Automation, Embedded Software, Formal Verification, Github, Python (Programming Language), Machine Learning, Performance Tuning, Software Engineering, Systems Architecture, System Testing, SystemVerilog, Technical Data Management Systems, AI Infrastructure, Scripting, Large Language Models, Prompt Engineering, Git, Graphql, Machine Learning Operations, Virtual Agents, Restful APIs, Software Version Control, Jenkins
- **Published:** August 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-ai-ml-applications-engineer-wilmington-ma--78eebeb4-bff7-407b-977d-e05d0635af72

## About the Role

3-5 years of experience in the IC design and verification domain Experience with LLM-related techniques: prompt engineering, RAG, vector databases Strong experience with scripting languages (Python, Bash) Strong experience with SystemVerilog/UVM and C-based test bench development Proficiency with git version control and CI/CD pipelines (GitHub Actions, Jenkins) Strong command-line Linux skills and experience with common Linux utilities Excellent debugging and analytical skills Strong coding and documentation practices Excellent communication skills to work across teams

Preferred Qualifications

Knowledge of AI Infrastructure development, including MCP integration API integration experience (REST/GraphQL) Familiarity with cloud platforms (AWS, Azure) and CI/CD practices for ML tools Experience fine-tuning or training LLMs for domain-specific applications Experience with synthesizable RTL development Experience with debugging of RTL and gate simulations Experience with Xcelium and Synopsys tools Proficiency in Formal Verification techniques and tools Familiarity with low power verification (UPF)

Preferred Education

Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or equivalent experience

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process., Amazon Web Services (AWS), Analog Circuit Design, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Bash Scripting, Benchmarking, Best Practices, C Programming Language, Climate Change, Cloud Computing, Command Line, Communication Skills, Computer Engineering, Computer Programming, Continuous Deployment/Delivery, Continuous Integration, Database Design, Debugging Skills, Design Verification, Documentation, Electrical Engineering, Embedded Software, Focus Groups, Formal Verification, Functional Testing, Git, GitHub, GraphQL, Graphic Design, Healthcare, Industry Standards, Integrated Circuit (IC) Design, Jenkins, Licensing, LinkedIn, Linux Operating System, Low Power, MCP - Microsoft Certified Professional, Machine Learning, Machine Tool, Medical Conditions, Medical Genetics, Metrics, Microsoft Windows Azure, Military, Product Development, Product Support, Productivity Management, Prototyping, Python Programming/Scripting Language, REST
(Representational State Transfer), Scripting (Scripting Languages), Semiconductors, Software Engineering, Source Code/Configuration Management (SCM), Synopsys Tools, System Architecture, System Validation, SystemVerilog, Technical/Engineering Design, Test Bench, Test Plan/Schedule, Training/Teaching, Twitter, Validation Testing, Verification Engineering, Willing to Travel

## Description

We are seeking a talented and dynamic AI/ML Applications Engineer to join our team based in Durham, NC or Wilmington, MA. In this role, you will leverage your knowledge in Integrated Circuit (IC) design and verification with working knowledge of AI/ML to develop, integrate, deploy, and support best-in-class Agentic AI solutions including custom instructions, skills and automation scripts. You will help connect these tools with multiple engineering domains including system architecture, design, verification, and software teams to enhance productivity and quality., * Evaluate and integrate Agentic AI tools with industry standard and proprietary tools and workflows for massively accelerating various parts of the IC design and verification lifecycle * Develop libraries of custom instructions, skills, and automation scripts for Agentic AI tools * Apply machine learning and agentic AI techniques to extend and enhance ADI's EDA tools * Connect APIs and SDKs to ADI's design databases * Educate users on best practices for using Agentic AI tools, create documentation and deliver training workshops * Work closely with digital and analog design engineers, verification experts, and tool developers to identify pain points and integrate AI solutions * Evaluate and benchmark emerging AI/ML tools for semiconductor workflows * Develop and maintain automation tools to improve verification productivity and debug efficiency * Keep abreast of the latest in generative AI and agentic frameworks


## Related Videos

- [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)