Вакансия Backend Engineer – AI Specialization

Skills

• Python
• Java
• Go
• TensorFlow
• PyTorch
• scikit-learn
• AWS
• GCP
• Azure
• Docker
• Kubernetes
• ETL
• RESTful API
• Microservices
• CI/CD
• NLP
• SQL
• NoSQL

Описание вакансии

We’re looking for a talented Backend Engineer with deep expertise in Artificial Intelligence to join our client’s team. In this role, you’ll design, build, and optimize scalable backend systems while seamlessly integrating cutting-edge AI and machine learning models. You’ll collaborate closely with data scientists, product managers, and fellow engineers to deliver innovative AI-driven features that power our core platform and bring real impact to our users.

About the project

This company is revolutionizing B2B marketing with a focus on customer-led growth. Through their platform, academy, and community, they empower marketers to prioritize customer relationships and drive sustainable growth. Trusted by leading brands like HubSpot, Twilio, NetApp, Calendly, Similarweb, Zscaler, they’re changing the game for customer engagement.

Responsibilities

• Design, develop, and maintain scalable backend services that support AI/ML functionalities
• Collaborate with data scientists to operationalize machine learning models and integrate them into production systems
• Optimize data pipelines, storage, and retrieval processes to handle large-scale datasets efficiently
• Develop API endpoints and microservices for AI-driven features and support real-time/ batch AI processing
• Write clean, maintainable, and well-documented code following best practices and standards
• Monitor system performance and implement improvements for reliability and efficiency
• Stay updated with the latest trends and advancements in AI/ML and backend development

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
• Proven experience as a Backend Engineer, with a focus on AI/ML projects
• Strong proficiency in programming languages such as Python, Java, or Go
• Experience with AI frameworks and libraries like TensorFlow, PyTorch, scikit-learn, etc.
• Solid understanding of cloud platforms (AWS, GCP, Azure) and deployment tools (Docker, Kubernetes)
• Experience working with large datasets and data pipelines (ETL processes, databases, data lakes)
• Familiarity with RESTful APIs, microservices architecture, and server-side development
• Knowledge of DevOps practices for CI/CD, monitoring, and system automation
• Excellent problem-solving skills and ability to work collaboratively in a multidisciplinary team

Will be a plus

• Experience with NLP, computer vision, or other AI domains
• Knowledge of MLOps practices for model deployment and lifecycle management
• Familiarity with data storage solutions like SQL, NoSQL, and data warehouses