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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (AI): Building and maintaining back-end services and scalable systems for AI-powered publishing products with an accent on high-performance data processing, cloud deployment, and microservices architecture. Focus on optimizing infrastructure for large data volumes and machine learning models, integrating back-end services with front-end and data science systems, and improving reliability under launch deadlines.
Location: London, United Kingdom
Company
hirify.global is a research-driven company building AI products that help online publishers address operational challenges and improve publishing workflows.
What you will do
Design, build, and maintain back-end services and systems supporting AI-powered products.
Develop and optimize scalable, high-performance systems for large volumes of data and machine learning models.
Deploy and integrate back-end services with front-end and data science systems.
Improve back-end architecture, performance, reliability, and scalability while meeting launch deadlines.
Debug technical issues, implement solutions, and collaborate with Product, Data Science, engineering, and other cross-functional teams.
Apply new technologies and techniques to improve back-end infrastructure.
Requirements
Degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
3–5 years of back-end development or related experience focused on server-side technologies.
Strong knowledge of Python, Java, or Node.js and experience with back-end frameworks.
Familiarity with SQL and NoSQL databases and experience building and optimizing data storage solutions.
Understanding of RESTful APIs, microservices architecture, and back-end development best practices.
Familiarity with Git or other version control systems.
Experience with AWS, GCP, or Azure and deploying applications in a cloud environment.
Problem-solving ability, a proactive and results-driven mindset, independence, and willingness to learn quickly.
Nice to have
Experience in a fast-paced SaaS or technology environment focused on building and scaling back-end systems.
Understanding of back-end security best practices.
Knowledge of machine learning concepts and ability to collaborate with data scientists to optimize AI models.
Strong communication skills and effectiveness in cross-functional teams.
Culture & Benefits
Free breakfast, coffee, drinks, and snacks are provided daily.
Weekly team lunches are held on Mondays, Wednesdays, and Fridays.
Regular team events support interaction outside work.
In-house conferences and an annual summer camp are available to global employees, with the camp hosted in London.
Pension contributions, the latest technology, generous annual leave, and an office with a balcony overlooking Notting Hill.
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