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The mission is part of a global Generative AI program dedicated to brand content creation. The objective is to transform how content is produced while preserving brand identity, authenticity, and creative DNA. Within an existing team of 18 people, the company is looking for a Full Stack Developer to help scale the product and take the project to the next level.
Main responsibilities
As a Full Stack Developer, the consultant will be responsible for building and maintaining end-to-end product features, from front-end interfaces to back-end services and database design. The role involves turning complex AI integrations into seamless user experiences while ensuring scalability, performance, and reliability.
Detailed tasks include:
Design and develop full-stack features from UX to API and database layers
Build responsive, accessible, and high-performance user interfaces using React / Next.js and TypeScript
Integrate with Python-based AI modules using FastAPI through REST APIs, including management of asynchronous workflows and job queues
Work with Azure services including Blob Storage, PostgreSQL, and Service Bus to build scalable storage and processing pipelines
Model and manage relational data with PostgreSQL extensions / ORM, including Prisma and Supabase
Integrate and secure third-party APIs, especially GenAI APIs such as OpenAI and FAL
Ensure code quality through testing (unit, integration, end-to-end) and CI/CD pipelines
Collaborate closely with designers, product managers, and AI engineers to turn ideas into production-grade features
Contribute to architecture discussions, documentation, and continuous improvement of the developer experience
Profile sought
Must-have skills:
Strong expertise in TypeScript across both front-end and back-end
Solid experience with React / Next.js and component-based architecture
Experience designing and consuming REST APIs
Good command of PostgreSQL and modern extensions such as Prisma and Supabase
Proficiency with Docker, GitHub Actions / CI/CD pipelines, and modern DevOps basics
Ability to write automated tests with tools such as Jest and Playwright
Nice-to-have skills:
Familiarity with cloud environments such as GCP, AWS, or Azure and infrastructure-as-code tools such as Terraform
Interest in Generative AI tools, embeddings, and prompt optimization
Knowledge of Python / FastAPI for lightweight AI or data integrations
Mindset and soft skills:
Product-oriented mindset with attention to both speed and quality
Strong ownership and end-to-end accountability
Collaborative approach in cross-functional teams with the ability to communicate clearly with non-technical peers
Curiosity about AI and enthusiasm for exploring GenAI use cases in creative environments