
Senior Python AI Engineer
- Remote
- Prague, Praha, Hlavní město, Czechia
- €35 - €42 per hour
- Jimmy Technologies
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!
Job description
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.
This is a remote-first position for engineers based in Europe, Turkey, Georgia, Armenia, or the Americas 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.
Job requirements
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.
Azure Cloud Services: Hands-on experience with Azure Functions, Azure Storage, 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.
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)
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