Overview
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 & Responsibilities
As 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.
Containerize applications using Docker for environment management.
Required Skills & Experience
Expertise 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 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
Start Date:
ASAP
Location:
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:
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
