At CloudGeometry, we have embarked on the mission to truly offer top-notch, cloud-first, AI-driven technology solutions to our customers. We are an AWS-advanced consulting partner, CNCF member, and Kubernetes Certified Service Provider, part of the AI&Data working group under the Linux Foundation. We work for enterprise US Fortune 500 companies and tech start-ups from Silicon Valley to Europe. About the Role 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. Responsibilities 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. Requirements Must-Have 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) Nice-to-Have: 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). Personal Skills: Proactive, fast-learning, detail-oriented. Strong analytical and problem-solving skills. Ability to work independently and in distributed teams. Benefits We are building hyper-growth careers in Cloud Native, AI/ML-centric projects, using the best Silicon Valley practices, anywhere in the world. Remote anywhere Co-working space financial coverage Flexible working hours B2B with multiple benefits Paid days off annually: 20 days leave, 12 days holidays, 10 days sick leave Workspace program: $2500 for work equipment of your choice. English language lessons on all levels Performance financial incentives for the people who demonstrate interest in the company''s development. Paid courses and certifications: example AWS, CKA, ML certifications Participation at international conferences: like CNCF Summits, Kubecon, others
Job Title
Artificial Intelligence Engineer