Senior Python Developer with AI

About the project:

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.

The project is focused on building proof-of-concept (POC) applications and then converting them into scalable, production-ready back-end systems using modern Python frameworks and cloud infrastructure.

Full remote
Long term period
CET time zone
Location: Remote (99%); must be able to travel freely within Europe for workshops.
The client will pay for business trips.

Requirements:

• At least 6 years of experience in Software development;
• 4+ years of experience in AI;
• 5+ years of experience with Generative AI (GenAI);
• 5+ years of experience with Azure Cloud Services: hands-on experience with Azure Functions, Azure Storage, and cloud-based hosting;
• Expertise in Python for back-end development;
• Experience with FastAPI, Pandas, and NumPy for building scalable RESTful APIs;
• Experience with Retrieval Augmented Generation (RAG);
• Proficiency in Prompt Engineering;
• 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;
• 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.

Will be a plus:

• 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;
• Experience with Auditing Tax Risk Management industries.

Responsibilities:

• 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;
• Containerize applications using Docker for environment management.