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