GRASWALD AI
Senior Full Stack Engineer

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Remote (CET)
About Us
At Graswald AI, we’re building the AI operating system for fashion brands and retailers, starting with AI image and content generation. Our engineering team tackles rapid scaling challenges, GPU-intensive workloads, and enterprise-grade infrastructure to deliver fast, pixel-perfect results for global brands. In the past year alone, we’ve signed 50 enterprise fashion clients who rely on us to reduce costs and accelerate creative timelines. Backed by leading VCs and strategic investors including Lakestar and Orendt Studios, and preparing for a Series A later this year, we’re growing fast and building technology that is already reshaping how fashion content is produced.
The Role:
The Senior Full Stack Software Engineer is a core member of a product team, responsible for designing, building, testing, and deploying high-quality software. Engineers work closely with their Team Lead (TL) and Product Manager (PM) to turn product requirements into reliable, scalable features that deliver real value to users.
Engineers at Graswald operate in a highly dynamic environment, where requirements and architectures evolve quickly. This role requires comfort with ambiguity, strong ownership, and the ability to make pragmatic technical decisions with incomplete information.
Your profile
Key Responsibilities
- Software Design & Quality: Design and optimize scalable backend systems and high-performance frontend applications, ensuring security, performance, and maintainability. Write clean, well-documented code and participate in code reviews to ensure quality, and reliability.
- Problem-Solving & Troubleshooting: Identify, analyze, and resolve technical issues in development and production environments, and proactively improve existing systems where needed.
- Collaboration and Teamwork: Work closely with your TL, PM, and peers to align on priorities, surface blockers early, and collaborate on design and problem-solving. Contribute to technical design discussions and propose solutions.
- Requirement Understanding & Implementation: Work closely with the PM and TL to understand product requirements, user stories, and technical specifications. Translate these into practical and effective technical implementations.
- Continuous Learning & AI-Driven Development: Maintain a strong dedication to continuous learning and professional development, staying current with industry trends, emerging technologies, and best practices. Actively explore, learn, and apply new AI capabilities and tools to enhance personal productivity, improve software development processes, and contribute to innovative solutions. Embrace and experiment with AI-powered development practices within the team. Research and evaluate new technologies or approaches to solve technical challenges.
- Documentation: Create and maintain clear, concise technical documentation for code, system designs, and processes to facilitate understanding and onboarding for current and future team members.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications: skills, abilities, and experience
Experience
- Minimum 5 years of experience writing excellent, standards-compliant code. Demonstrated ability to independently design, build, and maintain production-grade software systems.
- Experience working on the engineering team in a start-up, scale-up or product-driven company.
- Experience designing and evolving backend systems that operate reliably under increasing load.
- Strong experience writing high-quality, maintainable, standards-compliant code in production systems.
- Strong understanding and experience with building and consuming API-driven solutions.
- Demonstrable experience with Agile or Scrum software development methodologies.
- Specific Technology Focus:
- Mastery of Python and Django and strong skills in TypeScript and React.
- Experience with database technologies, cloud platforms (e.g., AWS, Azure, GCP), and API design principles.
- Strong analytical and problem-solving abilities, with a methodical approach to debugging and issue resolution.
- Soft Skills:
- Strong communication skills, high integrity, and great attention to detail.
- An entrepreneurial spirit with the ability to adapt and grow quickly as the organization scales.


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Nice to have:
- Experience with generative AI tooling (Stable Diffusion, ComfyUI) or creative platforms (p5.js, Three.js).
Education:
- A minimum of a Bachelor's degree in Computer Science, Information Technology, or a similar technical field.
Why Join Us:
- Impact: Help redefine AI-driven content creation for the world’s biggest brands.
- Innovation: Work with cutting-edge AI models and push the boundaries of generative visuals.
- Fast-Paced Execution: We move quickly, iterate rapidly, and work closely with customers to build what they need.
- Growth: Join a high-caliber, fast-scaling startup with huge opportunities for career advancement.
- Culture: Be part of a passionate, collaborative team that values creativity, problem-solving, and technical excellence.
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