Jun 2025 - Present
AI Engineer | PAYRETAILERS (Remote, Barcelona, Catalonia, Spain)
- Designed and developed an end-to-end enterprise AI ecosystem with AI-Core (.NET 9 REST API), AI-Front (Next.js 15/React 19), and AI-Agents-Semantic-Base (Orleans + Semantic Kernel).
- Led Risk Agent automation flows across n8n, LLMs, and secure API integrations, achieving a daily reduction of 8-9 hours in manual operational work.
- Engineered a scalable distributed runtime with Orleans 9.2 and Semantic Kernel, orchestrating 10+ LLM models and 40+ tools focused on fintech use cases.
- Pioneered Model Context Protocol integration over SSE with custom MCP clients and servers, enabling secure dynamic tool discovery and enterprise system connectivity.
- Implemented semantic retrieval workflows with PostgreSQL + pgvector (1536 dimensions) to improve context quality and response relevance in AI-assisted operations.
- Delivered real-time AI interfaces with streaming chat, Markdown/KaTeX rendering, and an interactive workflow editor powered by XYFlow and Redux API slices.
- Established an AI-driven SDLC workflow to convert functional requirements into production-ready code with faster delivery cycles and maintained engineering quality.
- Implemented Databricks governance workflows and n8n orchestrations connecting Salesforce, Jira, and internal APIs for auditable automation at scale.
- Co-led strategic backend migration to AKS and optimized Docker deployment patterns for highly available AI microservices.
Tech: .NET 9, ASP.NET Core, C#, Semantic Kernel, Orleans, Azure OpenAI, Anthropic, PostgreSQL/pgvector, Redis, n8n, Databricks, AKS, Docker, OpenTelemetry.