At a Glance
- Tasks: Develop and maintain full-stack applications while collaborating with research scientists and ML engineers.
- Company: Join a leading tech company focused on AI and machine learning innovation.
- Benefits: Competitive salary, bonuses, stock options, and comprehensive benefits package.
- Other info: Opportunities for career growth and a culture of diversity and belonging.
- Why this job: Make an impact in cutting-edge AI projects and work in a dynamic, hybrid environment.
- Qualifications: Strong programming skills in Python and experience with full-stack development.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a highly skilled Senior Full Stack Software Engineer to join our team supporting research and foundation model development. This role operates at the intersection of research scientists, ML engineers, and infrastructure teams, enabling rapid experimentation, prototyping, and model deployment. You are comfortable working in a high‑ambiguity environment where requirements are often not fully defined. Understanding problems, gathering context (including through modern AI tools), and iterating quickly are key aspects of the role. You will contribute across the stack, building systems that support model development, evaluation, and integration into production workflows. The team operates in a hybrid working model from our offices in London.
Responsibilities
- Develop and maintain backend and frontend applications and services
- Rapidly prototype solutions to support research and experimentation workflows
- Design, implement, and monitor CI/CD systems and deployment pipelines
- Build tooling for benchmarking, evaluation, and post‑training workflows (e.g., harnesses, environments)
- Work with 3D data (meshes/BREPs) and support 3D geometry processing and rendering systems
- Develop and optimize data processing pipelines
- Identify and resolve bugs and system issues in a timely manner
- Collaborate with research scientists, ML engineers, and infrastructure teams to enable AI/ML solutions
- Use modern AI/GenAI tools to accelerate development, gather context, and validate outputs
- Contribute to shared codebases, ensuring quality, scalability, and maintainability
- Stay current with emerging technologies and apply them pragmatically in a fast‑moving environment
- Operate effectively in situations with evolving or unclear requirements
Minimum Qualifications
- Strong programming skills in Python (or similar)
- Experience developing full‑stack applications (backend + frontend)
- Experience using modern AI/GenAI tools as part of the development workflow
- Familiarity with cloud infrastructure (e.g., AWS), Linux environments, and containerization (Docker)
- Experience with CI/CD tools and workflows
- Experience building or working with data pipelines
- Ability to work in fast‑paced, ambiguous environments and drive tasks to clarity
- Bachelor’s degree in computer science, engineering, or equivalent experience
- Strong problem‑solving, communication, and collaboration skills
Additional Qualifications
- Experience building prototypes in research or experimental settings
- Familiarity with workflow/pipeline orchestration tools (e.g., Metaflow)
- Experience working with 3D data, CAD systems, or rendering techniques
- Experience with frontend technologies (e.g., JavaScript, React)
- Understanding of software architecture and design patterns
- Ability to work across multiple domains (systems, data, UI) as needed
- Interest in machine learning or AI systems
Preferred Skills
- Experience supporting or deploying experimental ML models (evaluation, iteration, or internal use)
- Strong experience with Ray (data, training, or serving use cases)
- Familiarity with DevOps practices and tools (e.g., Kubernetes, Terraform)
- Exposure to 3D modelling software and file formats (e.g., meshes, BREPs)
- Proficiency in a low‑level programming language (e.g., C, C++, Rust)
- Experience with other cloud platforms (Azure, GCP)
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive.
Senior Fullstack Software Engineer employer: Merantix
At Autodesk, we are committed to fostering a dynamic and inclusive work environment that empowers our employees to excel. As a Senior Full Stack Software Engineer in our London office, you will benefit from a hybrid working model, competitive compensation, and a comprehensive benefits package, all while collaborating with leading experts in AI and machine learning. We prioritise employee growth through continuous learning opportunities and encourage innovation in a fast-paced, supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Fullstack Software Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving full-stack development and AI tools. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research the company, understand their tech stack, and be ready to discuss how your experience aligns with their needs. We’re all about collaboration, so show us how you can fit into the team.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior Fullstack Software Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Fullstack Software Engineer role. Highlight your experience with full-stack development, AI tools, and any relevant projects that showcase your skills in a high-ambiguity environment.
Showcase Your Problem-Solving Skills:In your application, don’t just list your technical skills; share examples of how you've tackled complex problems in past roles. We love seeing how you approach challenges and iterate on solutions, especially in fast-paced settings.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate candidates who can communicate effectively, as collaboration is key in our team.
Apply Through Our Website:We encourage you to submit your application directly through our website. This ensures that your application gets to the right people quickly and helps us streamline the process. Plus, it’s super easy!
How to prepare for a job interview at Merantix
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and full-stack development. Brush up on your knowledge of cloud infrastructure and CI/CD tools, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled ambiguous problems or rapidly prototyped solutions. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your ability to drive tasks to clarity.
✨Familiarise Yourself with AI Tools
Since the role involves using modern AI/GenAI tools, be ready to talk about your experience with them. Share how you've integrated these tools into your workflow and how they’ve helped you in past projects.
✨Collaborate and Communicate
This position requires collaboration with various teams, so be prepared to discuss your communication style and teamwork experiences. Think of examples where you’ve successfully worked with cross-functional teams, especially in high-paced environments.
