The Mission
We are looking for an Agentic Architecture Lead to drive the development of next-generation AI-powered web applications. You will bridge the gap between Databricks data platforms and modern web architectures, building intelligent, production-ready applications that integrate LLMs, real-time data, and scalable cloud infrastructure.
This role combines architecture leadership with hands-on full-stack development, helping shape our transition toward Databricks Apps and serverless AI solutions.
What You Will Do
Architect cloud-native AI applications, integrating LLMs, vector search, and real-time data.
Design end-to-end web solutions from frontend to backend.
Implement RAG pipelines, model serving, and AI agents in production.
Lead cross-functional teams (Full-stack, AI, Data).
Build and maintain backend services in Python and integrate them with React (or Angular) frontends.
Translate business requirements into scalable technical solutions.
Ensure quality through testing, CI/CD, and cloud-native best practices.
Your Background
7+ years in software engineering, designing distributed systems
Strong full-stack experience (React + FastAPI)
Sharp product vision and UX/UI intuition
Expert-level Python
Hands-on experience with LLMs, vector databases, or RAG architectures
Hands on experience with multi-agent architecture
- Familiarity with Docker, CI/CD pipelines, and relational databases
- Experience with Databricks (Lakebase, MLflow, Unity Catalog)
- Strong Spanish language skills
- Strong English language skills
Nice to Have
Experience with GenAI frameworks (LangChain, AutoGen)
Experience with Node.js full-stack
Experience leading multi-disciplinary engineering teams
Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel!