4 дня 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 and infrastructure for enterprise-grade GenAI products with an accent on high availability, low latency, security, and cost-effectiveness. Focus on event-driven architectures, APIs, microservices, real-time processing, monitoring, and infrastructure integration.
Location: Brazil, hybrid
Company
develops enterprise GenAI platforms combining 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 additions.
- Design event-driven architectures and build APIs and microservices for real-time processing and analytics.
- Integrate infrastructure components with product features in collaboration with engineering and research teams.
- Improve reliability and scalability through monitoring, logging, error handling, and performance optimization.
- Participate in code reviews, open-source projects, and mentoring of junior engineers.
Requirements
- 7+ years of experience designing or implementing applications and backend software.
- BSc degree in Computer Science, Engineering, or a related field.
- Experience with scalable production-level software and backend infrastructure.
- Programming experience with Python, Node, Go, or Ruby.
- Experience with cloud platforms, CI/CD pipelines, version control, APIs, databases, and container orchestration.
Nice to have
- Experience with AWS, Azure, or GCP.
- Knowledge of 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 closely with product, engineering, research, and external partner teams.
- Apply emerging technologies and methodologies to enterprise GenAI infrastructure.
- Values include humility, outcome focus, ownership, experimentation, and responsible AI development.
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