





Tier-1 brand, generalist full-stack title, metro location, and broad cross-stack requirements increase applicant competition.
Core frontend/backend/cloud skills are transferable, but healthcare and responsible-AI requirements add domain-specific constraints.
Explicit 7+ years plus mandatory frontend, backend, cloud, DevOps and AI integration skills enforce strict filters.
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Build and maintain scalable, secure full-stack software including frontend UI, backend services/APIs, and cloud infrastructure to enable production AI applications.
Design and manage cloud architecture (AWS) and implement DevOps practices including CI/CD pipelines, containerization, and Infrastructure-as-Code (Terraform).
Integrate complex AI and LLM-powered systems, leveraging AI coding agents daily to accelerate development and ensure engineering excellence through rigorous code reviews.
Minimum 7 years of professional software engineering experience with a strong focus on backend, cloud infrastructure, advanced frontend architecture, and DevOps.
Proven experience building backend systems for complex AI/LLM applications with dynamic data and streaming AI output handling.
Expertise in TypeScript with React/Next.js or Angular 16+ for frontend, Python for backend API design, and AWS cloud services including IAM, Lambda, S3, ECS.
Bachelor's degree or higher in Computer Science, Software Engineering, or related field; English proficiency at C1+ level; availability to work across Central European Time zone when needed.
Experienced in building robust AI-powered applications combining frontend, backend, and cloud with strong production deployment focus in an agile, multidisciplinary team environment.
Operates effectively in a cutting-edge AI engineering context using advanced AI coding tools and agentic software development lifecycle (SDLC).
Capable of diagnosing complex system-level issues across full stack with potential to assume technical leadership responsibilities as needed.