> Markdown version of [/jobs/ext/4665506-backend-engineer-ai-systems](https://www.wearedevelopers.com/jobs/ext/4665506-backend-engineer-ai-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer, AI Systems - **Company:** Bjak - **Location:** Germany (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Software Applications, Application Services, Cloud Computing, Computer Programming, Databases, Software Debugging, Python (Programming Language), Node.Js, NoSQL, Open Source Technology, Queueing Systems, Software Engineering, SQL Databases, Systems Integration, WebRTC, Data Logging, Pytorch, Large Language Models, Concurrency, Database Optimization, Caching, Backend, Kubernetes, Low Latency, Machine Learning Operations, Front End Software Development, Api Design, VLLM, Dynatrace, Docker - **Published:** November 11, 2026 - **Apply:** https://startup.jobs/backend-engineer-ai-systems-bjak-my-8773546 ## About the Role * 3+ years of backend software engineering experience building production systems * Strong programming skills in Python, Node.js or similar backend technologies * Experience designing and maintaining REST or gRPC APIs, databases and distributed services * Understanding of asynchronous processing, concurrency, caching and message queues * Experience building scalable services and optimising latency, throughput and resource usage * Experience with SQL or NoSQL databases, Docker and cloud infrastructure * Ability to debug production issues using logs, metrics and distributed tracing Nice to Have * Experience integrating LLM APIs, inference services or AI-powered applications * Experience with model serving, streaming inference or orchestration frameworks * Experience with Kubernetes and container orchestration * Familiarity with PyTorch, vLLM or open-source model deployment * Experience building real-time communication, messaging or high-traffic ## Description * Build and maintain backend services and APIs for AI-powered applications * Develop inference orchestration systems that connect LLMs, application services and external tools * Design APIs for streaming responses, asynchronous processing and real-time interactions * Improve system performance through caching, batching, concurrency and database optimisation * Implement monitoring, logging, alerting and error handling for production services * Diagnose and resolve production issues involving latency, service failures and high traffic * Work with ML, frontend and mobile engineers on API design, system integration and deployment