CloudGeometry is a Silicon Valley-based cloud-native system integrator with deep expertise in AWS, CNCF, and modern SaaS product development. We are an AI-driven engineering partner, working at the intersection of cloud infrastructure, data, and machine learning. Our distributed teams collaborate with enterprise clients and fast-growing startups across the US, Europe, and Latin America to design and build scalable platforms and solutions powered by cutting-edge technology.

We are expanding our AI Team and looking for a Middle AI Developer to help build production-grade AI agents, NLQ workflows, and ML/LLM pipelines on Databricks. You will work with Python, LangChain/LangGraph, and MLFlow, focusing on reliability, data workflows, and MLOps best practices.

• Develop AI agents and NLQ workflows using LangChain & LangGraph.
• Build and optimize pipelines in Databricks (PySpark, Unity Catalog).
• Implement MLOps with MLFlow (tracking, versioning, deployments).
• Write unit tests and contribute to improving the reliability of AI components.
• Apply guardrails and safety mechanisms for LLM outputs.
• Collaborate with engineering teams and maintain clear documentation.

• Strong Python skills; experience with Databricks (PySpark, Notebooks, Unity Catalog).
• Practical experience with LangChain & LangGraph.
• Hands-on MLFlow experience (training, tracking, endpoints).
• Good SQL knowledge (MySQL and Databricks SQL).
• Understanding of LLM guardrails and multi-agent systems.
• Speaking and writing in English (B2)

• Experience evaluating or fine-tuning LLMs (Llama, GPT, Gemini).
• Familiarity with NLQ systems, AI Assistants, and Marketing Mix Modelling.
• Knowledge of vector databases, NestJS/Prisma, or mixed-model architectures.
• Experience reducing AI/ML technical debt or working with Copilot/Gemini-in-IDE.
• Experience writing tests and using GitHub workflows (CI/CD).

• Proactive, fast-learning, detail-oriented.
• Strong analytical and problem-solving skills.
• Ability to work independently and in distributed teams.