Senior Python AI Engineer

Our client, a leader in data-driven solutions, is seeking Senior Python AI Developers to contribute to their AI-driven 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 tax, auditing and risk management used by the largest companies in the world.This is a remote-first position with a required overlap of US working hours (2-6 PM CET).Role & ResponsibilitiesAs a Senior Python Developer, you will:Develop and maintain scalable back-end services using FastAPI and other modern frameworks.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.Work on GenAI-driven applications, utilizing frameworks such as LangChain, LlamaIndex, vector databases, and agentic frameworks.Required Skills & ExperienceExpertise in Python for back-end development.Experience with FastAPI, Pandas, and NumPy for building scalable RESTful APIs.Experience with Retrieval Augmented Generation (RAG).Experience with MCP/FastMCP.Proficiency in Prompt Engineering.Knowledge of vector databases and embedding models.Familiarity with frameworks such as LangChain, LangGraph, and LlamaIndex.Azure Cloud Services: Hands-on experience with Azure Functions, Azure Storage, and cloud-based hosting.Ability to work with large datasets and perform data cleaning, transformation, and manipulation.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.Preferred ExperienceKnowledge of AI ethics, bias mitigation, and responsible AI practices.Experience with multi-agent libraries/frameworks like CrewAI, Autogen, and Taskweave.Understanding data engineering concepts, including data pipelines, data integration, and data warehousing.Performance optimization using monitoring tools and profiling techniques.CI/CD pipelines for seamless deployment.Work ConditionsStart Date: ASAPLocation: Remote (99%); must be able to travel freely within Europe for workshops.Onsite Requirements: Mandatory planning sessions/workshops (2 times a year).US Time Zone Overlap: Required (2 PM - 6 PM CET)Rate: 290-330 EUR/MDIf you are passionate about AI, Python, and AI-driven applications, this role with our client offers an exciting opportunity to work on impactful projects!#J-18808-Ljbffr