Senior Python AI Engineer

8 hours ago

Prague, Hlavní město Praha, Czech Republic Jimmy Technologies Full time €90,000 - €120,000 per year
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.

This is a remote-first position for engineers based in Europe, Turkey, Georgia, Armenia, or the United Arab Emirates 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)

All done

Your application has been successfully submitted

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