Senior AI Full-Stack Engineer (Node.JS)

About the role

We are looking for Senior Full‑Stack AI Engineers to design, build, integrate, and operate end‑to‑end digital capabilities that combine modern web applications with artificial intelligence services.

Key responsibilities

• Analyze business requirements and design AI‑enabled solutions across frontend, backend, integrations, data, security, and operations.
• Develop and maintain user interfaces using React or Angular with strong state management and testing practices.
• Build backend services, APIs, and integrations using Node.js, Python, Java, Spring Boot, or similar technologies.
• Integrate AI/ML capabilities through model APIs, SDKs, embeddings, vector search, RAG, prompt engineering, tool calling, and workflow orchestration.
• Design secure data ingestion, storage, retrieval, and transformation processes.
• Implement automated testing (unit, integration, E2E, regression) and AI‑specific quality evaluations.
• Ensure security, privacy, observability, monitoring, and operational resilience of AI‑powered applications.
• Contribute to CI/CD pipelines, containerization, deployment automation, and production support.
• Troubleshoot incidents, perform root‑cause analysis, and drive continuous improvements.

Required profile

• BSc/MSc in Computer Science or a related field.
• 8+ years of software engineering experience, including senior‑level full‑stack development.
• Strong problem‑solving, communication, and stakeholder management skills.
• Professional English proficiency.

Required skills

• JavaScript/TypeScript, React, Angular, Node.js.
• Python, Java, Spring Boot.
• REST APIs, event‑driven architectures, distributed systems, enterprise integrations.
• Generative AI, LLMs, Retrieval‑Augmented Generation (RAG), embeddings, vector databases, prompt engineering, AI workflow orchestration.
• SQL and NoSQL databases, data pipelines, caching, search technologies.
• Git, CI/CD, containerization, cloud platforms.
• Automated testing, monitoring, observability.
• Security, privacy, responsible AI, production support practices.