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Senior Python AI Engineer
Job Description & How to Apply Below
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 & ResponsibilitiesAs 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 Lang Chain, Llama Index, vector databases, and agentic frameworks
.
- Expertise in Python for back-end development.
- Experience with FastAPI, Pandas, and Num Py 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 Lang Chain, Lang Graph, and Llama Index.
- 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
.
- 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.
- CI/CD pipelines for seamless deployment.
- 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: 290-330 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!
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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