Full Stack Developer

Data Science UA is a service company specializing in AI and Data Science, known for building large AI communities in Europe. The client is a global solution integrator focused on enterprise-grade infrastructure, platform engineering, and cloud-native architectures, helping organizations implement transformative technology solutions.

• Architect, build, and ship production-ready applications based on validated POCs;
• Design and develop full-stack solutions with modern frontends and scalable backends;
• Build and deploy within the AWS ecosystem;
• Own the CI/CD pipeline by designing, building, and maintaining automated workflows;
• Design and build internal agentic AI solutions including multi-step agent orchestration, RAG pipelines, and tool-augmented workflows;
• Utilize Agentic IDE tools as a core part of the development workflow;
• Collaborate with the CTO Office, product stakeholders, sales, and pre-sales teams to translate business needs into technical solutions;
• Make pragmatic technology decisions balancing speed, quality, and maintainability.

• 5+ Years of professional full-stack development experience;
• Strong proficiency with Vue.js or React, including modern tooling like Nuxt/Next.js, TypeScript, Vite, and Tailwind CSS;
• Solid experience with Node.js and Python;
• Hands-on experience building and deploying real workloads on AWS;
• Proven experience building agentic AI systems with LangChain and LangGraph;
• Experience designing and maintaining CI/CD pipelines with GitHub Actions;
• Strong understanding of RESTful API design, relational and NoSQL databases, and cloud-native architecture;
• Working knowledge of Agentic IDEs and AI-assisted development tools;
• Understanding of system design principles, data structures, and design patterns;
• Builder's mindset with experience taking projects from prototype to production;
• Nice to have: Amazon Bedrock, Azure AI Foundry, Infrastructure as Code (AWS CDK, Terraform, CloudFormation), security infrastructure (IDP, OAuth2, JWT), SRE knowledge (monitoring, logging, observability), FinOps concepts, containerization (Docker, Kubernetes), background in B2B SaaS or enterprise software.

• No conditions specified