
Software Engineer AI Integration
2 weeks ago
We are looking for an experienced Software Engineer to join our AI project on Microsoft Azure. You will be responsible for software development and systems integration, building AI-driven solutions that are reliable, scalable, and high-performing.
Location: candidates must be based in Romania, full remote role
Contract: B2B, 4 months with extension possible
Rate: 35 EUR/H
Tasks- Design, develop, and maintain backend applications using and related frameworks.
- Build and consume RESTful APIs and other web services.
- Integrate AI/ML models into backend systems in close collaboration with other engineers.
- Develop APIs and data pipelines to deliver AI model predictions and insights to various applications.
- Work with large datasets, ensuring efficient data storage, retrieval, and processing.
- Participate in the full software development lifecycle: requirements gathering, design, implementation, testing, deployment, and maintenance.
- Write clean, well-documented, testable code and contribute to best practices for backend development and AI integration.
- Support production deployments, monitor performance, and troubleshoot issues.
- Contribute to architectural decisions and conduct code reviews to foster a collaborative team environment.
What We're Looking For
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 5+ years of professional experience as a Software Engineer.
- Hands-on experience deploying AI/ML models in production.
- Experience with Microsoft Azure services (e.g., Data Factory, Synapse Analytics, OpenAI, AI Vision).
- Proficiency with
- Strong understanding of software engineering principles, methodologies, and best practices.
- Excellent problem-solving, troubleshooting, and analytical skills.
- Proactive, with the ability to take initiative and lead when needed.
- Strong communication, collaboration, and teamwork skills.
Preferred Qualifications
- Master's degree in Computer Science, Software Engineering, or a related field.
- Previous experience with AI integrations and large-scale data solutions.
- Strong knowledge of data modeling techniques and managing large data volumes.
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