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The company is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. The company builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. The company bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.
The Role:
We are seeking a highly skilled Staff Backend Engineer to design, build, and maintain the core infrastructure for AI-powered applications. You will work closely with machine learning engineers, data scientists, and frontend developers to create scalable, secure, and efficient backend systems that enable cutting-edge AI capabilities.
What You’ll Do:
- Design, develop, and maintain backend systems and APIs for AI-driven applications.
- Optimize database architectures and data pipelines for efficient AI model training and inference.
- Implement secure authentication, authorization, and data protection mechanisms.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Ensure system scalability, reliability, and performance through robust infrastructure design.
- Develop monitoring and logging tools for tracking system health and model performance.
- Write clean, efficient, and well-documented code following best practices.
What You’ll Bring:
- Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
- 8+ years of experience in backend development, with expertise in Python, NodeJS.
- Strong experience with RESTful APIs, GraphQL, or gRPC.
- Proficiency in database design and management (SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis).
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Knowledge of containerization and orchestration tools (Docker, Kubernetes).
- Experience with distributed computing and microservices architectures.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications:
- Knowledge of message queues (Kafka, RabbitMQ) and event-driven architectures.
- Exposure to LLMs, vector databases, and AI inference optimization.
- Understanding of DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, Ansible).
- Familiarity with MLOps and AI model deployment pipelines is a plus.
Why the company:
- Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
- Unparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
- Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
- World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.
