Senior Python AI Engineer

<div><p>Our client, a leader in data-driven solutions, is seeking<b>Senior Python AI Developers</b>to contribute to their AI-driven innovation projects in the US. This role is part of a larger company’s strategy leveraging<b>Generative AI (GenAI)</b>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.</p><p>This is a remote-first position with a required overlap of US working hours (2-6 PM CET).</p><h3>Role&Responsibilities</h3><p>As a<b>Senior Python Developer</b>, you will:</p><ul><li><b>Develop and maintain</b>scalable back-end services using FastAPI and other modern frameworks.</li><li><b>Ensure seamless integration</b>with front-end applications and external services through well-designed RESTful APIs.</li><li><b>Leverage cloud infrastructure</b>(Azure Functions, Azure Storage) for hosting and scaling applications.</li><li><b>Implement security best practices</b>for API authentication (OAuth, JWT) and data protection.</li><li><b>Work on GenAI-driven applications</b>, utilizing frameworks such as<b>LangChain, LlamaIndex, vector databases, and agentic frameworks</b>.</li></ul><h3>Required Skills&Experience</h3><ul><li><b>Expertise in Python</b>for back-end development.</li><li><b>Experience with FastAPI, Pandas, and NumPy</b>for building scalable RESTful APIs.</li><li><b>Experience with Retrieval Augmented Generation (RAG).</b></li><li>Experience with MCP/FastMCP.</li><li><b>Proficiency in Prompt Engineering.</b></li><li><b>Knowledge of vector databases and embedding models.</b></li><li><b>Familiarity with frameworks</b>such as LangChain, LangGraph, and LlamaIndex.</li><li><b>Azure Cloud Services</b>: Hands-on experience with Azure Functions, Azure Storage, and cloud-based hosting.</li><li><b>Ability to work with</b>large datasets and perform data cleaning, transformation, and manipulation.</li><li><b>Asynchronous Programming</b>: Understanding of async patterns to improve performance.</li><li><b>Containerization</b>: Familiarity with<b>Docker</b>for application deployment.</li><li><b>Security Best Practices</b>: Knowledge of API authentication methods such as<b>OAuth and JWT</b>.</li></ul><h3>Preferred Experience</h3><ul><li><b>Knowledge of AI ethics, bias mitigation, and responsible AI practices.</b></li><li><b>Experience with multi-agent libraries/frameworks</b>like CrewAI, Autogen, and Taskweave.</li><li><b>Understanding data engineering concepts</b>, including data pipelines, data integration, and data warehousing.</li><li><b>Performance optimization</b>using monitoring tools and profiling techniques.</li><li><b>CI/CD pipelines</b>for seamless deployment.</li></ul><h3>Work Conditions</h3><ul><li>Start Date:<b>ASAP</b></li><li>Location:<b>Remote (99%)</b>; must be able to travel freely within Europe for workshops.</li><li><b>Onsite Requirements:</b>Mandatory planning sessions/workshops (2 times a year).</li><li><b>US Time Zone Overlap:</b>Required (2 PM - 6 PM CET)</li><li>Rate: 290-330 EUR/MD</li></ul><p>If you are passionate about<b>AI, Python, and AI-driven applications,</b>this role with our client offers an exciting opportunity to work on impactful projects!</p></div>#J-18808-Ljbffr