Full Stack AI Engineer

• Design and build full-stack AI features, including tables, document-centric interfaces, review flows, and real-time or streaming interactions.
• Develop agentic systems with tool calling, multi-step workflows, RAG, and structured output handling.
• Build backend services using ASP.NET Core Web API and Python (FastAPI), and integrate them with React/Next.js frontends.
• Implement and improve RAG pipelines, covering chunking, embedding selection, vector store integration, and retrieval quality evaluation.
• Design AI-native UX patterns: confidence indicators, citations and source grounding, fallback states, edit/retry flows, and human review steps.
• Write evaluation tests before shipping new AI capabilities, using golden datasets, regression gates, and CI controls.
• Contribute to evaluation pipelines that combine deterministic metrics with LLM-as-judge approaches.
• Build systems that degrade gracefully when model outputs are unexpected.
• Manage context windows through token budgeting, truncation, and tool-call state persistence.
• Prototype quickly with AI tooling, then validate production artifacts against defined quality gates before promotion.

Requirements

Education and experience

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
• 3+ years b