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: Hybrid work model with excellent opportunities for career growth and learning.
- Why this job: Make an impact in AI/ML by working on cutting-edge projects in a dynamic environment.
- Qualifications: Strong programming skills in Python and experience with full-stack development required.
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 in London 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. Our culture prioritises innovation and personal growth, providing ample opportunities for professional development and the chance to work on cutting-edge projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Fullstack Software Engineer in London
✨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 involving full-stack development and AI tools. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms that simulate real interview scenarios to boost your confidence.
✨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!
We think you need these skills to ace Senior Fullstack Software Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Full Stack Software Engineer role. Highlight your experience with both backend and frontend development, and don’t forget to mention any work with AI tools or cloud infrastructure!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled ambiguous situations in the past. We love candidates who can think on their feet and drive tasks to clarity, so share those experiences that demonstrate your problem-solving prowess.
Highlight Collaboration Experience:Since this role involves working closely with research scientists and ML engineers, make sure to emphasise your teamwork skills. Share instances where you’ve collaborated across different teams or disciplines to achieve a common goal.
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 people!
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 gather context or validate outputs in past projects.
✨Collaborate and Communicate
This position requires collaboration with various teams, so be prepared to discuss your communication style and teamwork experiences. Highlight instances where you’ve worked effectively with research scientists or ML engineers to achieve a common goal.
