> Markdown version of [/jobs/ext/3002591-engineer-ai-applications](https://www.wearedevelopers.com/jobs/ext/3002591-engineer-ai-applications). 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). --- # Engineer, AI Applications - **Company:** Ayar Labs - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $150,000.0 - $192,000.0 - **Contract:** Internship / Graduate position - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Code Generation, Computer Programming, Computer Engineering, Continuous Integration, DevOps, Python (Programming Language), Software Engineering, Technical Data Management Systems, TypeScript, Data Processing, Google Cloud, Application Enhancement Tool, Large Language Models, Containerization, Infrastructure Automation Frameworks, Information Technology, Free and Open-Source Software, Software Version Control - **Published:** September 19, 2026 - **Apply:** https://www.dice.com/job-detail/81720fa4-d6ea-4742-85b8-f72a132e7526 ## About the Role * Education: Bachelor's degree in computer science, software engineering, electrical engineering, computer engineering, mathematics, physics, or another STEM or engineering field. * Experience: 2+ years in software engineering, DevOps, or platform engineering. Strong independent projects, internships, or open-source contributions are encouraged to apply. * AI/LLM Application Experience: Hands-on experience working across model APIs - Anthropic, OpenAI, Gemini, and open weight models - building a range of AI-powered tools such as chat and assistant interfaces, document processing and summarization, workflow automation, or code-generation tooling. * Agentic Tooling & Judgment: Experience building AI skills that can be shared across teams and the organization, and MCP (Model Context Protocol) servers that support technical users. Sound judgment on when to rely on the tools already built into major frontier model apps and when it's worth building something custom instead. * Cross-Functional Communication: Strong written and verbal skills, with the ability to translate a request from someone outside software or AI into a working tool. * Track Record of Shipping: A history of building internal tools or applications that other people actually use, not coursework or personal experiments alone. * Self-Direction: Comfortable operating without an existing playbook, and motivated by the chance to help write one. * Programming Fluency: Working proficiency in Python, plus at least one of JavaScript/TypeScript, Go, or a similar modern language. * DevOps Fundamentals: Comfort with the tools that keep applications running in production - version control, CI/CD, containerization and orchestration, infrastructure-as-code, and monitoring. Cloud platform experience (AWS, Azure, or Google Cloud Platform) is a plus., * Security & IP Awareness: Thoughtful about data handling, access control, and IP protection when introducing AI tools into a company that guards sensitive engineering and manufacturing data * A master's or other postgraduate degree is preferred.. * Evaluation and Guardrails: Experience testing and evaluating AI-powered features, and building in the guardrails that keep them reliable and safe for internal users. * Deep-Tech Background: Prior experience at a hardware, semiconductor, or deep-tech company, or another environment with highly technical, non-software users. ## Description * Be the Go-To for AI Tooling: Serve as a primary builder for AI-powered internal tools, turning requests from across the company into scoped, working solutions. * Design and Ship AI-Powered Applications: Build the apps, dashboards, services, and interfaces that put AI capabilities directly in front of users, so they can get their work done without needing to understand how the AI works. * Integrate LLM and AI APIs: Connect tools such as OpenAI, Anthropic, Gemini, or open weight models into real company workflows and data sources, so the AI is doing useful work rather than sitting in a demo. * Own the Infrastructure Behind It: Build and maintain the pipelines, containerized deployments, infrastructure automation, and monitoring these tools run on, so what you ship keeps working after launch. * Support the People Using What You Build: Troubleshoot issues directly with users, and drive adoption through documentation and training people will actually use. * Track the AI Landscape: Evaluate new AI tools, platforms, and vendors for opportunities which fit our company needs. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [You are not an AI developer](https://www.wearedevelopers.com/videos/1148-you-are-not-an-ai-developer) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)