
Senior Backend Software Developer Position
1 day ago
We are seeking an experienced Senior Backend Software Developer to join our team. As a key member of our engineering organization, you will play a critical role in designing and implementing scalable backend systems that integrate effectively with AI services and components.
The ideal candidate will have a strong background in backend development using modern programming languages, with demonstrated experience building production systems. They should also have expertise in cloud platforms, API development and management, and database knowledge. Additionally, they should have experience integrating or implementing AI/ML services such as NLP, document processing, classification systems, or recommendation engines.
In this role, you will work closely with data scientists and ML engineers to understand model requirements and implementation needs. You will design and implement data pipelines that efficiently prepare and process data for AI consumption, and ensure security and compliance in AI implementations, particularly regarding data handling and privacy regulations.
This is a fantastic opportunity to be part of a dynamic team and contribute to the development of innovative AI-powered solutions. If you are a motivated and talented software engineer with a passion for AI, we encourage you to apply for this exciting position.
Responsibilities
- Design and implement scalable backend systems that integrate effectively with AI services and components.
- Develop robust APIs and middleware connecting SAAS platforms with AI capabilities.
- Create and optimize data pipelines for efficiently collecting, transforming, and feeding information to AI models.
- Monitor and improve system performance with specific focus on AI service integration points and response times.
- Make architecture decisions for AI integration projects, including technology selection and build vs. buy evaluations.
- Collaborate with data scientists and ML engineers to understand model requirements and implementation needs.
- Lead AI-related technical initiatives including mentoring junior engineers on AI integration patterns.
- Implement comprehensive testing and monitoring strategies for AI-integrated systems to ensure reliability.
- Ensure security and compliance in AI implementations, particularly regarding data handling and privacy regulations.
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