Software Engineer

🕒 May 6

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Articul8 AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Articul8 AI is a company specializing in a GenAI platform designed to simplify and enhance the process of building sophisticated enterprise AI applications. The platform offers features such as autonomous decision-making, automated data intelligence, and a growing library of specialized models. It aims to improve accuracy and precision while ensuring 100% traceability and auditability. Articul8 provides tools for data ingestion, annotation, curation, and management, which help create high-quality datasets for multimodal and domain-specific AI models. Their solutions are engineered for regulated industries and can be deployed securely anywhere. Articul8 AI supports efficiency in knowledge discovery and offers platforms that scale effortlessly, adapt to changing datasets, and retain flexibility to avoid vendor lock-in.

📋 Description

• Design, develop, test, deploy, maintain, and improve scalable, secure, and high-performance backend systems, focusing on high availability, low latency, and cost-effectiveness. • Be the subject matter expert in infrastructure when designing new products and introducing new technology to our existing product line. • Collaborate closely with engineering and research teams to integrate infrastructure components with product features, ensuring optimal system performance and user experience. • Design event-driven architectures and develop APIs and microservices to support real-time processing and analytics. • Ensure system reliability, performance, and scalability through monitoring, logging, and error handling mechanisms. • Stay up-to-date with emerging trends, technologies, and methodologies, applying this knowledge to enhance our infrastructure capabilities. • Participate in code reviews, contribute to open-source projects, and mentor junior engineers.

🎯 Requirements

• 7+ years of design, implementation, or consulting in applications and backend software development experience. • BSc degree in Computer Science, Engineering, or a related field. • Technology stack: Cloud Platforms: AWS, Azure, GCP • Programming/Development: Python, Node.js, Go, Ruby, CI/CD pipelines, and version control. • Frameworks: Django, Flask, OpenAPI, FastAPI, Spring Boot, Express.js • Databases: PostgreSQL, MySQL, MongoDB, Redis • API Management: REST, GraphQL. • Container Orchestration: Kubernetes, Docker Swarm • Master's or PhD in Computer science or related technical fields.

🏖️ Benefits

• Professional development opportunities