Senior Rails Developer

February 8

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LXT

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LXT is a company that provides custom data collection and annotation solutions to fuel AI projects for organizations of all sizes, from startups to Fortune 500 companies. They specialize in data annotation, data collection, data evaluation, and generative AI services, ensuring the reliability and trustworthiness of AI solutions. LXT supports a range of AI use cases, including AR/VR, computer vision, conversational AI, generative AI, search relevance, and speech and NLP. Their global expertise and ISO 27001-certified facilities ensure high-quality data collection and secure processing, enhancing AI model accuracy and performance.

501 - 1000 employees

Founded 2010

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• LXT is seeking a skilled Senior Ruby on Rails Developer to join our remote team • You will be responsible for optimizing backend components, implementing best practices, and collaborating closely with a distributed team. • Develop and enhance our crowdsourcing platform using Rails 6.x and 7.x • Apply test-driven development (TDD) best practices to ensure high-quality and maintainable code. • Deliver across the full development stack, focusing on backend development while maintaining an understanding of frontend technologies. • Work with RabbitMQ and other messaging systems to implement event-driven architectures. • Collaborate closely with a remote team based in Germany and Ukraine.

🎯 Requirements

• 5+ years of software development experience, with at least 3 years focused on Rails • Strong experience with MySQL or other relational databases • Deep understanding of RSpec, including FactoryBot and TDD methodologies • Hands-on experience with RabbitMQ and event-driven architectures • Proficiency in Unix/Linux environments • Familiarity with Agile methodologies (Scrum, Kanban) • Experience working in startup environments and scaling applications • Hands-on experience with frontend development is a plus • Knowledge of HAProxy, Monit, and infrastructure monitoring tools • Experience with Docker and containerized deployments • Ability to create and maintain AWS Lambda functions • Familiarity with AWS Rekognition or other AWS AI/ML services • Strong problem-solving mindset and ability to work independently • Team-oriented, collaborative, and excellent communication skills • Passion for clean, maintainable code and following best practices • Excellent English communication skills, both written and verbal