Senior FullStack AI Engineer

Our client, a leader in data-driven solutions, is seeking a 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
• 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.

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.

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
• Rate: 300-330 EUR/MD

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!