About the role
Job Description
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.
Qualifications
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
Additional Information
Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel!