Full Stack Engineer

We are looking for a highly skilled, deeply hands-on Full-Stack Software Engineer who will cover frontend UI, backend architecture, cloud deployment, and DevOps engineering all under one hat. Since our team already includes dedicated AI engineers and data engineers, your primary mission is to be the foundational software engineering anchor: building the robust, scalable, and secure user interfaces, infrastructure, integrations, and server-side logic that allow our AI solutions to thrive in a production environment.
Responsibilities:
Frontend Architecture and Generative UI: Develop highly scalable, reusable UI components using expert-level TypeScript and modern frameworks (React/Next.js or Angular 16+). Shift from static layouts to flexible, dynamic interfaces that gracefully handle unpredictable data and real-time LLM streams.
Core Backend Engineering and API Design: Design and build highly scalable, reusable backend services and APIs (using Python) that serve as the backbone for multi-agent workflows and GenAI applications. Build, host, and secure Model Context Protocol (MCP) servers and standard APIs to standardize data exchange.
Cloud Architecture and DevOps Excellence: Design, implement, and manage secure and scalable cloud infrastructure (primarily AWS) tailored for diverse AI workloads. Apply Infrastructure-as-Code (IaC) practices using Terraform. Build, maintain, and optimize fully automated CI/CD pipelines and manage application containerization (Docker).
Agentic SDLC and Engineering Excellence: Leverage AI coding assistants and autonomous agents (e. g., Claude Code, Ona) daily to accelerate full-stack development cycles. Conduct rigorous code reviews for both human-written and AI-generated code.
Requirements:
Experience: 7+ years of strong software engineering experience with a demonstrable focus on backend development, cloud infrastructure, advanced frontend architecture, and DevOps.
AI Integration Experience: Proven experience building backends for complex solutions and LLM-powered applications, managing streaming responses, and translating non-deterministic AI outputs into safe, functional user interfaces.
Agentic Workflow: Proven experience leveraging AI coding agents within an agentic SDLC to accelerate feature delivery.
Hold a B. Sc., B. Eng., M. Sc., M. Eng., PhD, or equivalent in computer science, software engineering, or a related field.
Be a passionate builder, staying continuously up-to-date with the latest developments in cloud computing, backend architectures, frontend paradigms, and AI integrations.
Be team-oriented, proactive, and collaborative, thriving in a fast-paced environment where roles are fluid and multidisciplinary.
Have a deep sense of accountability, be capable of diagnosing complex system-level issues across the entire stack, and be able to step into a tech lead role when necessary.
Technical Skills:
Frontend and User Interface: Deep expertise in TypeScript and a major framework (React/Next.js or Angular 16+). Strong capability in complex state management and handling real-time data flow.
Backend Programming: Advanced, production-grade proficiency in Python. Excellent enterprise API design and microservices architecture skills.
Cloud and DevOps: Deep expertise in AWS (IAM, Lambda, S3 ECS, etc. ), Docker, CI/CD tools (e. g., GitHub Actions), and Terraform.
Data and AI Tooling: Experience integrating with modern databases (Snowflake, OpenSearch). Familiarity with the Model Context Protocol (MCP), graph databases, and generative UI libraries.
Software Engineering Best Practices: Robust automated testing (TDD) to verify both code written by AI agents and dynamic UI components generated at runtime.
Additional Qualifications:
Security Mindset: Strong understanding of enterprise security risks, IAM, and safe data handling, along with a strong understanding of responsible AI deployment.
Communication: Be an excellent problem solver, detail-oriented, and a great communicator, able to present complex technical matters clearly to diverse audiences. Be able to communicate in English at the level of C1+.
Working Hours: Be ready to span work times across the Central European Time Zone on occasion, when necessary.

Experience
8-12 yrs