Senior AI Engineer

Overview

Senior AI Engineer

Generative AI (GenAI)

Role & Responsibilities

Senior AI Engineer

• , 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.

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**
• .
• **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.
• **Security Best Practices**
• : Knowledge of API authentication methods such as
• OAuth and JWT
• .
• Ability to
• participate in the discussions
• and lead the technical discussions
• **Have a consultancy mindset**
• → always try to find a solution for the client
• **Make decisions**
• about the solution and design

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%); must be able to travel freely within

Europe

• for workshops.
• **US Time Zone Overlap**
• : Required (

2 Pm - 6 Pm Cet

• )
• **Rate:**

300-330 Eur/Md

AI, Python, and AI-driven