MCP/AI Developer

🕒 July 2

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• Implement and maintain clean, well-tested code for MCP tools, agentic features, and their supporting services (front-end and back-end), to team standards • Integrate LLMs and models via APIs/SDKs to deliver agentic workflows, with attention to correctness, latency, and cost • Help build the guardrails of agentic workflows — human-in-the-loop steps, traceability, and clear error handling • Contribute to automated tests, evaluation harnesses for AI behavior, CI/CD pipelines, and developer tooling • Debug and troubleshoot across the stack (agent/tool logic, APIs, web UI), collaborating with senior engineers and QA • Work with Product and UX to translate requirements into technical tasks; surface risks and blockers early and seek mentorship

🎯 Requirements

• Master's in Computer Science / Computer Engineering, or a Bachelor's with 3+ years of relevant experience, or equivalent practical experience • Hands-on experience building software in at least one mainstream language (TypeScript/JavaScript preferred for our stack) • Familiarity with modern web development (HTML/CSS/JS) and a framework such as React • Sound understanding of testing, debugging, and code review; experience with Git and collaborative workflows (PRs, branches) • Exposure to building with LLMs or AI APIs — e.g. prompting, calling model/agent APIs, or simple agentic/RAG features (course, side-project, or work experience all count) • Strong problem-solving skills, eagerness to learn ML/AI deeply, and a collaborative mindset • Experience with Agile practices; strong written and spoken English.

🏖️ Benefits

• Annual cash bonuses • Commissions for sales roles • Stock grants • Comprehensive benefits package