2 месяца назад
Product/Software Engineer-Backend (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product/Software Engineer-Backend (GenAI): Designing and building scalable backend systems, APIs, microservices, and infrastructure for enterprise-grade GenAI products with an accent on high availability, low latency, security, and cost-effectiveness. Focus on event-driven architectures, real-time processing, system reliability, and integrating infrastructure with AI product features.
Location: Brazil; hybrid work
Company
develops enterprise GenAI platforms with domain-specific models, autonomous agentic reasoning, model evaluation, and multimodal understanding for regulated industries.
What you will do
- Design, develop, test, deploy, maintain, and improve scalable, secure, high-performance backend systems.
- Act as the infrastructure subject matter expert for new products and technology integrations.
- Design event-driven architectures and develop APIs and microservices for real-time processing and analytics.
- Integrate infrastructure components with product features in collaboration with engineering and research teams.
- Implement monitoring, logging, and error-handling mechanisms to improve reliability, performance, and scalability.
- Participate in code reviews, contribute to open-source projects, and mentor junior engineers.
Requirements
- Location: Brazil; hybrid work required.
- 7+ years of experience designing, implementing, or consulting on applications and backend software.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Experience building scalable production-level software and backend infrastructure.
- Ability to collaborate with engineering, research, and external partner teams.
Nice to have
- Experience with AWS, Azure, or GCP.
- Experience with Python, Node, Go, Ruby, CI/CD pipelines, and version control.
- Experience with Django, Flask, OpenAPI, FastAPI, Spring Boot, or Express.
- Experience with PostgreSQL, MySQL, MongoDB, Redis, REST, GraphQL, Kubernetes, or Docker Swarm.
- Master’s or PhD in Computer Science or a related technical field.
Culture & Benefits
- Work on enterprise-grade GenAI products for high-stakes and regulated environments.
- Collaborate across research, engineering, product, and domain teams.
- Emphasis on humility, early feedback, measurable outcomes, ownership, and rigorous engineering practices.
- Focus on building AI systems with accuracy, explainability, auditability, and positive real-world impact.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →