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Backend Developer (AI Infrastructure)

·Israel
RemoteProjectBackend DevelopmentArtificial Intelligence

Seeking a backend developer to design, build, and optimize server-side systems and APIs for AI products. Responsibilities include developing scalable architecture, integrating databases and cloud services, and ensuring high performance. Fully remote, flexible hourly contract.

Responsibilities

  • Design, develop, and maintain robust backend services, APIs, and data pipelines
  • Build scalable, high-performance server-side architecture for AI training and inference workloads
  • Write clean, well-documented, testable code following engineering best practices
  • Integrate with databases, message queues, cloud services, and third-party APIs
  • Optimize system performance, reliability, and scalability
  • Collaborate asynchronously with distributed teams of engineers, researchers, and product leads
  • Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions
  • Work independently on task-based and project-based assignments

Requirements

  • Proficiency in one or more backend languages (Python, Go, Java, Node.js, Rust, or similar)
  • Solid understanding of RESTful API design, microservices architecture, and distributed systems
  • Experience with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis, etc.)
  • Comfortable with cloud platforms such as AWS, GCP, or Azure
  • Familiarity with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes)
  • Strong problem-solving skills and ability to debug complex systems independently
  • Self-motivated, reliable, and effective in asynchronous work
  • Clear communicator able to document decisions and collaborate across time zones

Nice to have

  • Experience building infrastructure for machine learning or AI systems
  • Familiarity with data processing frameworks (Apache Kafka, Spark, Airflow, or similar)
  • Background in performance optimization, caching strategies, or high-throughput systems
  • Knowledge of authentication, authorization, and security best practices
  • Experience with serverless architectures or event-driven design patterns
  • Contributions to open-source projects or a strong portfolio

Benefits

  • Work on cutting-edge AI infrastructure projects alongside leading research labs
  • Fully remote and flexible schedule
  • Freelance autonomy with meaningful, technically challenging work
  • Collaborate with a global network of talented engineers and researchers
  • Potential for ongoing work and contract extension

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