Senior Fullstack AI Engineer

Our client, a leader in data-driven solutions, is seeking Senior Fullstack AI Engineer 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 long-term remote-first contract position with a required overlap of US working hours (2-6 PM CET) . Role & Responsibilities As a Senior AI Engineer , 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. Maintenance of integration modules in Node.js/React that connect the frontend to Python APIs Contribute to Node.js backend components when required, integrating them with Python services. 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 . 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 - 6 PM CET ) Contract with European LLC Requirements Expertise in Python for back-end development. Experience with FastAPI, Pandas, and NumPy for building scalable RESTful APIs. Proficiency in React/ Node.js/Typescript. Experience with Retrieval Augmented Generation (RAG). Proficiency in Prompt Engineering . Experience with MCP/FastMCP Knowledge of vector databases and embedding models. Familiarity with frameworks such as LangChain, LangGraph, and LlamaIndex. Ability to work with large datasets and perform data cleaning, transformation, and manipulation. Cloud Services : Hands-on experience with AWS/Azure/GCP and cloud-based hosting. 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 Preferred Experience Knowledge 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. Unit testing & automation (PyTest, Unittest). CI/CD pipelines for seamless deployment. Highlights If you are passionate about AI, Python, and AI-driven applications , this role with our client offers an exciting opportunity to work on impactful projects! Originally posted on Himalayas