Senior FullStack AI Engineer
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Key skills for this role
About the Role
Join a leader in data-driven solutions as a Senior FullStack AI Engineer to contribute to AI-driven innovation projects using Generative AI. You will develop scalable back-end services with FastAPI, integrate with front-end applications, and work on GenAI applications.
Key Skills for This Role
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
- Maintenance of integration modules in Node.js/React that connect the frontend to Python 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
Requirements
- Expertise in Python for back end development
- Experience with FastAPI, Pandas, and NumPy for building scalable RESTful APIs
- Proficiency in React/Node.js/TypeScript
- Experience with Retrieval Augmented Generation (RAG)
- Proficiency in Prompt Engineering
- Experience with MCP/FastMCP
- 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
- Hands on experience with AWS/Azure/GCP and cloud based hosting
- Understanding of async patterns to improve performance
- Familiarity with Docker for application deployment
Full Job Posting
Role Overview
- Our client, a leader in data driven solutions, is seeking a Senior FullStack AI Engineer 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 long term remote first contract position with a required overlap of US working hours (2 6 PM CET).
Role & 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.
- Maintenance of integration modules in Node.js/React that connect the frontend to Python 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.
Requirements
- Expertise in Python for back end development.
- Experience with FastAPI, Pandas, and NumPy for building scalable RESTful APIs.
- Proficiency in React/Node.js/Typescript.
- Experience with Retrieval Augmented Generation (RAG).
- Proficiency in Prompt Engineering.
- Experience with MCP/FastMCP
- 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.
- Cloud Services: Hands on experience with AWS/Azure/GCP and cloud based hosting.
- Asynchronous Programming: Understanding of async patterns to improve performance.
- Containerization: Familiarity with Docker for application deployment.
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
- Type: Full time & Long term contract work
- Start Date: ASAP
- Location: Remote (99%) in Europe; must be able to travel freely within Europe for workshops.
- US Time Zone Overlap: Required (2 PM 6 PM CET)
- Contract with European LLC
- Rate: 300 330 EUR/MD
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