Senior Fullstack Engineer – Node.js, AI Solutions
Posted 27ds ago
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Job Description
Senior Fullstack Engineer building scalable applications integrating AI capabilities. Collaborating with teams to deliver secure, high-performance systems in a cutting-edge technology environment.
Responsibilities:
- Frontend (React) Develop UI in React (TypeScript). Implement state management, routing, and component libraries. Ensure performance, accessibility, and clean architecture.
- Backend & APIs (Node.js) Build backend services (Node.js/TypeScript). Design REST/GraphQL APIs. Implement validation, caching, rate limiting, and security.
- AI Integration Integrate LLM capabilities via APIs/SDKs. Collaborate with AI teams on orchestration and RAG. Monitor latency, cost, and quality.
- Data & Storage Work with MongoDB, PostgreSQL, Redis. Optimize schema design and performance. Ensure data integrity and security.
- Cloud & DevOps Deploy on Azure/AWS using Docker. Support Kubernetes deployments. Implement CI/CD pipelines and monitoring.
- Quality & Reliability Maintain code quality via reviews and testing. Ensure performance, scalability, and security.
- Collaboration Work with product, design, and engineering teams. Break down requirements and propose solutions. Contribute to shared components and standards.
Requirements:
- Degree in Computer Science or related field.
- 1+ year frontend experience.
- 3+ years backend experience (2+ years Node.js).
- Strong experience with JavaScript/TypeScript frameworks.
- Experience with AI integrations and large datasets.
- Cloud and DevOps knowledge.
- Git and CI/CD experience.
- Agile experience.
- English & Czech proficiency.
- Understanding of secure coding and AI security.
Benefits:
- B2B contract role
- Opportunity to be part of a Top 5 global consulting company
- Work within a highly advanced Data, Analytics & AI department delivering cutting-edge solutions for leading global organizations
- Long-term cooperation – initial contract for at least 1 year with strong possibility of extension
- Remote / hybrid working model (flexible setup)
- Exposure to advanced AI initiatives (GenAI, LLMs, agentic systems)
- Work on impactful, enterprise-scale projects in the banking sector
- Collaboration with senior experts, architects, and AI specialists
- Access to modern technologies and enterprise platforms
















