Collaboration. Ai is a software company that specializes in enhancing teamwork and innovation through intelligent networking solutions. Their products, including NetworkOS, CrowdVector, and TeamCreator, are designed to connect people around ideas, evaluate and expand professional networks, and optimize collaborative opportunities. Trusted by organizations like the US Air Force and PWC, Collaboration. Ai aims to foster thriving ecosystems that drive transformation and innovation in various sectors.
High Performance Team Creation • Artificial Intelligence Technology • Management Consulting • Higher Education • Strategic Design Thinking
March 7
AWS
Azure
Cloud
Docker
Google Cloud Platform
Java
Kafka
Kotlin
Kubernetes
Microservices
NoSQL
Python
RDBMS
Rust
Go
Collaboration. Ai is a software company that specializes in enhancing teamwork and innovation through intelligent networking solutions. Their products, including NetworkOS, CrowdVector, and TeamCreator, are designed to connect people around ideas, evaluate and expand professional networks, and optimize collaborative opportunities. Trusted by organizations like the US Air Force and PWC, Collaboration. Ai aims to foster thriving ecosystems that drive transformation and innovation in various sectors.
High Performance Team Creation • Artificial Intelligence Technology • Management Consulting • Higher Education • Strategic Design Thinking
• We are looking for a skilled Senior Backend Engineer with expertise in data engineering and AI/LLM integrations. • Drive development of core backend systems and data platform. • Architect and build scalable and secure backend services, data pipelines, and APIs. • Design solutions for raw data capture, web scraping, data processing, transformation, and storage. • Develop and maintain backend services that integrate with our AI/LLM models and frameworks.
• Bachelor's or Master’s degree in Computer Science, Engineering, or related field. • 7+ years of professional experience in backend development, with proficiency in Python and experience working with strongly-typed languages (Kotlin, Java, Go, Rust). • Extensive experience in data engineering principles and building robust data pipelines. • Proven expertise in designing and developing scalable and secure backend systems and microservices. • Familiarity with containerization (Docker, Kubernetes) and modern deployment practices. • Proficiency with multiple persistence technologies including RDBMS, NoSQL, GraphDBs, and vector/RAG storage solutions. • Solid understanding of cloud platforms (AWS, Azure, GCP).
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