Hiring: Sr. Engineer, AI Applications Company: Ayar Labs Location: San Jose, CA Job Posted Time: 2026-09-16 12:46:35 Employment Type: On-site Target Skills & Keywords : AWS, Azure, CI/CD, GCP, JavaScript, LLM, Python, REST, TypeScript About the job Experience: •2+ years in software engineering, DevOps, or platform engineering. Strong independent projects, internships, or open-source contributions are encouraged to apply. Required Skills: •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. •Actively facilitate and support 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. Qualifications: •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 GCP) 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. Compensation: •$150,000 - $192,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!