BJAK - Back End, AI

Team: IT

Location: Netherlands

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Design, develop, and maintain backend services that support AI-powered product features and intelligent workflows.
• Build scalable infrastructure for AI interactions, including inference pipelines, orchestration layers, and backend systems supporting large-scale usage.
• Create reliable APIs and services used across web, desktop, and mobile applications.
• Optimize system performance through improvements in latency, throughput, caching, batching, and streaming capabilities.
• Develop and maintain monitoring, logging, alerting, and observability solutions to ensure production reliability.
• Troubleshoot distributed systems, identify performance bottlenecks, and implement solutions that improve platform stability.
• Collaborate closely with product, infrastructure, and AI engineering teams to deliver high-quality features and continuously improve system architecture.
• Contribute to the design decisions and technical foundations of an AI-native platform built for long-term scalability.

Requirements

• Strong backend engineering experience building and operating production-grade systems.
• Proven experience developing high-throughput and low-latency distributed applications.
• Advanced Python programming skills; experience with Node.js is considered a plus.
• Hands-on experience deploying and managing services using Kubernetes and Docker.
• Experience working with SQL and NoSQL databases in scalable production environments.
• Familiarity with AI infrastructure concepts, including LLM inference, embeddings, multimodal models, or similar technologies.
• Strong understanding of backend architecture, APIs, system reliability, and performance optimization.
• Pragmatic engineering mindset with a focus on delivering reliable, maintainable software.
• Experience with AI platforms, agent workflows, inference optimization, or large-scale AI services is highly desirable.
• Familiarity with technologies such as PyTorch, OpenAI models, Anthropic models, or open-source LLM ecosystems is an advantage.

Benefits

• Competitive compensation package including cash compensation and equity opportunities.
• Fully remote work environment with flexibility and autonomy.
• Opportunity to work on cutting-edge AI infrastructure and solve complex engineering challenges.
• Direct impact on the development of an AI-native product used by a growing user base.
• Collaboration with experienced engineers across backend, infrastructure, and AI domains.
• Opportunity for professional growth within an innovative and fast-moving technology environment.
• Flexible culture focused on ownership, technical excellence, and continuous learning.