Senior AI Engineer
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Key skills for this role
About the Role
Our client, a leader in data-driven solutions, is seeking a Senior AI Engineer to contribute to their AI-driven innovation projects in the US.
Key Skills for This Role
Full Job Posting
Overview
Our client, a leader in data-driven solutions, is seeking a
Senior 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
remote-first position
with a required overlap of
US working hours (2-6 PM CET).
Role & Responsibilities
As a
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
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!
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