Senior Python Engineer w/ Databricks

Our client is seeking Senior Python Developers to contribute to their innovation projects in the US. This role is part of a larger company’s strategy leveraging Generative AI (GenAI) to enhance workflows, decision-making, and data management of the enterprise solutions in auditing and risk management used by the largest companies in the world. You're a senior Python engineer with an interest in AI and Data Science This is a long-term remote-first contract position with a required overlap of US working hours (2-11 PM CET) . As a Senior Backend Developer , you will: Develop and maintain scalable back-end services. Design and build the architecture behind the AI systems, developing robust agentic workflows, MCP servers, and scalable integrations between LLMs and our backend infrastructure. Ensure seamless integration with front-end applications and external services through well-designed RESTful APIs. Leverage cloud infrastructure (Azure Functions, Azure Storage) for hosting and scaling applications. Implement security best practices for API authentication (OAuth, JWT) and data protection. Possibly work on GenAI-driven applications , utilizing AI APIs. Containerize applications using Docker for environment management. Work Conditions Type: Full-time & Long-term contract work Start Date : ASAP Location : Remote (99%) in Europe; must be able to travel freely within Europe for workshops. US Time Zone Overlap : Required ( 2 PM - 11 PM CET ) Rate: 300-330 EUR/MD Contact with European LLC Requirements Expertise in Python for back-end development Experience with FastAPI or Flask for building scalable RESTful APIs Familiarity with AI integration like OpenAI, HuggingFace or similar AI APIs Hands-on experience with Databricks Ability to work with large datasets and perform data cleaning, transformation, and manipulation Cloud Services: Hands-on experience with cloud deployment, CI/CD pipelines. Ideally on Azure Asynchronous Programming: Understanding of async patterns to improve performance Containerization: Familiarity with Docker for application deployment Security Best Practices: Knowledge of API authentication methods such as OAuth and JWT Ability to participate in the discussions and lead the technical discussions Have a consultancy mindset → always try to find a solution for the client Make decisions about the solution and design Excellent problem-solving skills and keen attention to detail. Ability to participate in the discussions and lead the technical discussions Have a consultancy mindset → always try to find a solution for the client Highlights If you are passionate about AI, Graph-centric AI , Python , and building next-generation agentic workflows , this role with our client offers an exciting opportunity to work on cutting-edge R&D projects! Originally posted on Himalayas