Backend Engineer

AI71

We are seeking a highly skilled 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.