Senior Full Stack Engineer

Data Science UA is a service company with deep expertise in AI and Data Science. We are looking for a Full Stack Engineer to join the CTO Office and take ownership of our client’s product development lifecycle. You'll work hand-in-hand with the CTO Office team, taking initiatives that have been validated as POCs and leading them into production-grade, scalable solutions.

• Take validated POCs from the CTO Office and architect, build, and ship them as production-ready applications
• Design and develop full-stack solutions — modern frontends paired with robust, scalable backends
• Build and deploy within the AWS ecosystem (Lambda, ECS/EKS, DynamoDB, S3, RDS, API Gateway, CDK/CloudFormation, and more)
• Own the CI/CD pipeline — design, build, and maintain automated workflows using GitHub Actions
• Design and build internal agentic AI solutions using LangChain and LangGraph — from multi-step agent orchestration to RAG pipelines and tool-augmented workflows
• Leverage Agentic IDE tools (Cursor, Claude Code, and similar) as a core part of your development workflow, applying best practices around skills, MCPs, agents, and prompt engineering to accelerate delivery
• Collaborate closely with the CTO Office, product stakeholders, sales, and pre-sales teams to translate business needs into elegant technical solutions
• Make pragmatic technology decisions that balance speed, quality, and maintainability

• 5+ years of professional full-stack development experience
• Frontend: Strong proficiency with Vue.js or React (with modern tooling such as Nuxt/Next.js, TypeScript, Vite, Tailwind CSS)
• A builder's mindset — you thrive on taking something from prototype to production
• Understanding of system design principles — you can architect scalable, reliable distributed systems and make sound trade-offs
• Grasp of data structures and design patterns — to work alongside your Agentic IDE you write efficient, well-structured code
• Backend: Solid experience with Python and modern frameworks — primarily FastAPI, or Django/Flask
• Hands-on experience with the AWS cloud ecosystem — you've built and deployed real workloads on AWS
• Hands-on experience building agentic AI systems with LangChain and LangGraph — including multi-agent orchestration, tool use, and RAG patterns
• Proven experience designing and maintaining CI/CD pipelines with GitHub Actions including automated PR based Code Reviews.
• Working knowledge of Agentic IDEs and AI-assisted development (Cursor, Claude Code, Windsurf, or similar) — including familiarity with skills, MCP servers, agents, and AI-driven development best practices
• Strong understanding of RESTful API design, relational and NoSQL databases, and cloud-native architecture patterns