דרושים Staff Backend Engineer בתל אביב

Loora AI is seeking a Staff Backend Engineer to drive the architecture and development of our AI-powered language learning platform. In this role, you will design and implement backend systems that directly impact millions of learners worldwide. You will architect scalable services that power real-time AI conversations, ensuring low-latency performance and reliability while building the foundation for our next generation of language learning features.

Responsibilities:

• Design, develop, and maintain high-performance backend services and APIs (REST and gRPC) that power AI-driven conversational experiences.
• Build and optimize asynchronous Python applications capable of handling real-time audio/text processing at scale.
• Ensure seamless, low-latency integration between mobile/web clients and our AI backend platform.
• Drive technical decisions on system architecture, focusing on low latency and fault-tolerance.
• Collaborate with AI/ML, mobile, DevOps, and product teams to deliver end-to-end solutions that delight our users.
• Work within CI/CD workflows to ensure smooth deployments and maintain high code quality standards.
• Establish engineering best practices and mentor team members to build a world-class engineering culture.
• Optimize system performance and resource utilization while maintaining reliability SLAs for our growing user base.

Requirements:

• Minimum of 6 years of diverse Python development experience
• Deep expertise in Python concurrency and execution models (WSGI, ASGI, asyncio, multiprocessing, threading, GIL).
• Proven track record building production-ready asynchronous Python applications serving high-volume traffic.
• Strong experience with Pydantic and FastAPI in production environments.
• Expertise in designing and implementing RESTful APIs and gRPC services with strong emphasis on versioning strategies and backward/forward compatibility.
• Demonstrated ability to solve complex performance, scalability and workload distribution challenges.
• Proficiency with relational and non-relational database solutions (PostgreSQL, Redis, DynamoDB, MongoDB) including query optimization and data modeling.
• Experience with event-driven architectures and message queuing systems (Kafka, RabbitMQ, AWS SQS).
• Hands-on experience with Docker, understanding of CI/CD pipelines and methodologies, and working in Kubernetes/AWS-based deployments.
• Strong proficiency with AWS cloud services and cloud-native architectures.
• Understanding of observability practices (distributed tracing, metrics, logging) and experience with monitoring tools.

Nice-to-Have:

• Proficiency in additional backend programming languages (Go, Rust, Java, Scala, Kotlin).
• Experience with audio/video streaming protocols and real-time communication systems.
• Experience with dataframe libraries (Pandas, Polars, Daft) for data processing and analytics.
• Familiarity with LLM integration libraries (LiteLLM, LangChain, Guidance, Instructor) and AI model serving frameworks.
• Background in building data-driven applications, pipelines, or ETL processes using frameworks like Apache Spark / Flink and orchestration tools such as Airflow or Dagster.
• Contributions to OSS projects on GitHub.