At a Glance
- Tasks: Lead the development of AI-native applications with full-stack engineering.
- Company: Join a cutting-edge tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- Why this job: Shape the future of AI technology and create impactful user experiences.
- Qualifications: 5-8 years in full-stack development 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 Engineer (3D) in London employer: Autodesk, Inc.
As a Senior Full-Stack Engineer (3D) at our London office, you will join a dynamic team dedicated to pioneering AI-native applications in a collaborative and innovative environment. We offer competitive benefits, a strong focus on employee growth through continuous learning opportunities, and a vibrant work culture that encourages creativity and teamwork. Our commitment to cutting-edge technology and a supportive atmosphere makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full-Stack Engineer (3D) in London
✨Tip Number 1
Network like a pro! Attend meetups, tech conferences, or local events where you can connect with other engineers and industry professionals. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your full-stack capabilities. Make sure to include any AI-related work, as it’s super relevant for this role. A strong portfolio can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We recommend using platforms like LeetCode or HackerRank to get in the zone.
✨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, we love seeing candidates who are proactive about their job search. So, go ahead and hit that apply button!
We think you need these skills to ace Senior Full-Stack Engineer (3D) in London
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 any relevant AI development tooling to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building AI-native applications. Share specific examples of your past projects that demonstrate your full-stack capabilities and how you’ve tackled complex user problems.
Showcase Your Projects:If you've worked on any relevant projects, especially those involving agentic workflows or real-time systems, make sure to include them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Autodesk, Inc.
✨Know Your Tech Stack Inside Out
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 well as any agentic frameworks you’ve worked with. Being able to discuss your experience confidently will show that you’re a strong candidate.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and implemented complex workflows or systems. Think about how you’ve tackled challenges in previous projects, particularly those involving AI interactions or state management. This will demonstrate your ability to handle the responsibilities outlined in the role.
✨Communicate Clearly and Effectively
Since the role requires bridging technical capabilities with user-facing features, practice explaining complex concepts in simple terms. Be ready to discuss how you’ve collaborated with UX teams in the past and how you approach user-centric design. Clear communication can set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI development, their tech stack, or team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation.
