Software Engineer

7 days ago

Ramat Gan, Tel Aviv, Israel Xeris AI Full time ₪70,000 - ₪120,000 per year

About the Role:

We're looking for a Python/Go Backend Developer with an AI-first mentality to join our team in building scalable, high-performance AI security solution. This role is ideal for someone with a solid development foundation who's ready to work on security infrastructure for AI Agents.

Responsibilities:

  • Building Security solution for running AI agents in the organization.
  • Design, develop, and maintain robust, scalable backend systems and APIs using Python/Go.
  • Work with relational (SQL) and non-relational (NoSQL) databases to ensure efficient data storage, access, and performance.
  • Build AI applications by integrating large language models (LLMs) such as OpenAI, Claude, or open-source alternatives.
  • Optimize backend systems for performance, scalability, and reliability in production environments.

Required Skills:

  • 2 years of backend development experience using Python or Java.
  • Experience with AI code generation tools (e.g., Copilot, Cursor, Codex, or similar) to accelerate development and improve productivity.
  • Hands-on experience with Python web frameworks such as FastAPI.
  • Proficiency in working with SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases.
  • Solid understanding of LLM-related concepts and frameworks: LangChain, prompt engineering, and vector databases (e.g., Milvus, Pinecone).
  • Experience designing RESTful APIs and writing asynchronous Java/Python code.
  • Familiarity with microservice architectures and cloud environments.
  • Bachelor's and/or master's degree in computer science, computer engineering, or related technical discipline.

Nice to Have:

  • Experience working with Model Context Protocol (MCP).
  • Practical experience deploying LLM-powered applications in production.
  • Understanding of multi-agent systems and context-aware orchestration strategies.
  • Exposure to cloud platforms such as AWS, Azure, or GCP.
  • Experience with Docker, Kubernetes, and containerized deployments.
  • Some knowledge or experience with development.

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