Senior Full-Stack AI Engineer (3D)

Senior Full-Stack AI Engineer (3D)

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Autodesk, Inc.

At a Glance

  • Tasks: Lead the development of AI-native applications and design innovative user interfaces.
  • Company: Join Autodesk, a leader in transforming how things are made.
  • Benefits: Competitive salary, bonuses, stock options, and comprehensive benefits.
  • Other info: Dynamic culture focused on innovation, diversity, and career growth.
  • Why this job: Shape the future with cutting-edge technology and meaningful projects.
  • Qualifications: 5-8 years in full-stack engineering with expertise in React and TypeScript.

The predicted salary is between 70000 - 90000 £ per year.

As a Senior Full-Stack Engineer (3D), you will be a lead contributor in building the next generation of AI-native applications. You sit at the intersection of robust backend orchestration and intuitive frontend design. Your primary mission is to design and implement "agentic" workflows/harnesses/systems where AI doesn't just respond to prompts but proactively executes tasks, manages state, and interacts with external tools to solve complex user problems.

You will work across the entire stack, leveraging best in class frameworks and tooling for both frontend, data storage, runtime and API design. You will work closely with the UX Research team to understand and develop new interfaces and interaction techniques.

Responsibilities

  • End-to-End Engineering: Lead the development of full-stack features, from database schema design to high-fidelity UI implementation
  • Agentic Workflow Orchestration: Design and implement backend logic that allows AI agents to interact with APIs, databases, and long-running processes autonomously
  • Agentic UX Design: Build "Human-in-the-loop" interfaces that allow users to monitor, steer, and collaborate with AI agents in real-time
  • Infrastructure & Security: Architect secure and performant backend systems using best practices and design patterns, to support high-concurrency AI operations
  • State Management: Manage complex, asynchronous application states where data may be updated concurrently by both users and background AI agents
  • Performance Optimization: Build efficient applications and services, understand how to best to maximize both perceived and actual user experience. Optimize the entire request-response lifecycle, focusing on minimizing latency in LLM streaming and database queries
  • Technical Health: Maintain high standards for code quality, focusing on static type safety, clean architectural consistency and comprehensive unit and integration testing

Minimum Qualifications

  • Experience: Typically 5–8 years of professional full-stack software engineering experience
  • Frontend Stack: Deep expertise in React, TypeScript, and modern CSS/HTML. Ability to build complex, data-rich applications
  • Backend Stack: Proven experience with RDBs (e.g. PostgreSQL) and Object Stores (e.g. s3)
  • API Design: Strong experience designing and consuming RESTful and/or GraphQL APIs with a focus on reliability and security
  • AI Development Tooling: Expert-level proficiency with modern agentic development environments (e.g., Cursor, Claude Code, Windsurf) to accelerate the shipping cycle
  • Architecture: Solid understanding of distributed systems, serverless architectures, and relational database modeling
  • Deployment: Familiarity with CI/CD practices and tools (e.g. Jenkins) and cloud providers for compute/network (e.g. AWS ALBs/ECS)
  • Communication: Ability to bridge the gap between technical LLM capabilities and practical, user-facing product features

Preferred Qualifications

  • Agentic Frameworks: Hands-on experience with agentic orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, or PydanticAI)
  • AI UX Patterns: Deep understanding of "Agentic UX" patterns, such as ReAct, streaming UI updates, generative UI, and proactive notifications
  • LLM Observability: Experience with monitoring and evaluation tools for AI agents (e.g., LangSmith, Braintrust, or Helicone) to track agent reliability and cost
  • Tool-Calling Expertise: Proven track record of building "Tools/Functions" for LLMs to interact with third-party SaaS platforms or internal databases
  • Durable Runtimes: Hands-on experience with durable runtime frameworks such as temporal or similar
  • Storage: Experience with Supabase e.g. Row Level Security (RLS), and database migrations
  • Vector Databases: Familiarity with pgvector or other vector stores for RAG (Retrieval-Augmented Generation) workflows
  • Real-time Systems: Experience with WebSockets or Supabase Realtime to provide instant feedback for long-running agentic tasks

Senior Full-Stack AI Engineer (3D) employer: Autodesk, Inc.

At Autodesk, we foster a vibrant work culture that encourages innovation and collaboration, making it an exceptional place for a Senior Full-Stack AI Engineer (3D) to thrive. Our London office offers competitive compensation, comprehensive benefits, and ample opportunities for professional growth, all while contributing to meaningful projects that shape the future of technology and design. Join us to be part of a diverse team dedicated to creating impactful solutions in a supportive environment.

Autodesk, Inc.

Contact Details:

Autodesk, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Full-Stack AI Engineer (3D)

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and full-stack development. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by practising common questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining us.

We think you need these skills to ace Senior Full-Stack AI Engineer (3D)

Full-Stack Software Engineering
React
TypeScript
CSS/HTML
RDBs (e.g. PostgreSQL)
Object Stores (e.g. s3)
RESTful APIs

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Full-Stack Engineer (3D) role. Highlight your expertise in React, TypeScript, and backend systems to show us you’re the perfect fit!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-native applications and how your experience aligns with our mission at StudySmarter. Keep it engaging and personal!

Showcase Your Projects:Include links to your previous work or projects that demonstrate your full-stack capabilities. We love seeing real examples of your skills in action, especially if they relate to agentic workflows or AI development.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!

How to prepare for a job interview at Autodesk, Inc.

Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially React, TypeScript, and PostgreSQL. Brush up on your knowledge of RESTful and GraphQL APIs, as you'll likely be asked to discuss how you've used these in past projects.

Showcase Your Projects

Prepare to talk about specific projects where you've implemented full-stack solutions. Highlight your experience with agentic workflows and how you've designed user interfaces that enhance user interaction with AI systems. Real examples will make your skills more tangible.

Understand AI Development Tools

Familiarise yourself with modern agentic development environments like Cursor or Claude Code. Be ready to discuss how these tools can accelerate the shipping cycle and improve application performance, as this is a key aspect of the role.

Communicate Clearly

Practice explaining complex technical concepts in simple terms. You’ll need to bridge the gap between technical capabilities and user-facing features, so being able to communicate effectively is crucial. Think about how you can convey your ideas clearly during the interview.