Senior AI Full-Stack Engineer

Who We Are 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. The role will cover user experience, backend APIs, AI orchestration, data access, evaluation, observability, security, deployment, and production support.
Who We Are 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. The role will cover user experience, backend APIs, AI orchestration, data access, evaluation, observability, security, deployment, and production support. The engineers will collaborate with Product, Architecture, Data and AI, Cybersecurity, Quality Assurance, DevOps, and business teams to convert prioritized use cases into reliable and maintainable solutions. They must be pragmatic software engineers who can determine where AI adds measurable value, integrate external or internally hosted models, and implement appropriate guardrails, human oversight, and quality controls.
What You'll Be Doing Analyze business requirements and design end-to-end AI-enabled solutions across frontend, backend, integrations, data, security, and operations
Develop and maintain user interfaces using React or Angular, applying 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, containerization, deployment automation, and production support
Troubleshoot incidents, perform root-cause analysis, and drive continuous improvements
Participate in architecture reviews, mentoring, documentation, and engineering best practices
What You'll Bring Along BSc/MSc in Computer Science or related field
8+ years of software engineering experience, including senior-level full-stack development
Strong hands-on experience with JavaScript/TypeScript and modern frameworks such as React, Angular, Node.js, Python, Java, and Spring Boot
Experience building REST APIs, event-driven architectures, distributed systems, and enterprise integrations
Practical experience with Generative AI, LLMs, RAG, embeddings, vector databases, prompt engineering, and AI workflow orchestration
Strong knowledge of SQL and NoSQL databases, data pipelines, caching, and search technologies
Experience with Git, CI/CD, containerization, cloud platforms, automated testing, monitoring, and observability
Good understanding of security, privacy, responsible AI, and production support practices
Strong problem-solving, communication, and stakeholder management skills
Professional English proficiency
Experience taking AI-enabled solutions from design through deployment, monitoring, and ongoing support
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