Dream
Dream
Dream एक रक्षा और कृत्रिम बुद्धिमत्ता कंपनी है, जो साइबर लचीलेपन के लिए एक एआई प्लेटफ़ॉर्म बना रही है। इसकी तकनीक सरकारों को बड़े पैमाने के साइबर डेटा को अधिक स्पष्ट दृश्यता, पूर्वानुमानित रक्षा और शत्रुतापूर्ण राष्ट्र-राज्यों से जुड़े हमलों के विरुद्ध वास्तविक समय में खतरे को कम करने की क्षमता में बदलकर राष्ट्रीय सुरक्षा मजबूत करने में मदद करने के लिए तैयार की गई है। Dream आधुनिक साइबर रक्षा को कठिन बनाने वाली डेटा संबंधी चुनौतियों का समाधान करने पर केंद्रित है।

Senior Backend Engineer, Agentic AI — Hybrid in Israel

Build Python backend services and LLM agents for Dream’s sovereign AI and national cyber-defense platform. Design secure, scalable systems serving government customers.

विवरण

  • Develop and run scalable Python backend services
  • Create and integrate LLM agents through prompt orchestration, tool and function calling, and agentic architecture patterns
  • Lead data modeling and database design for complex production systems
  • Integrate backend and AI capabilities with user-facing applications
  • Containerize and deploy services in AWS environments
  • Create automated tests and CI pipelines for dependable, rapid delivery
  • Apply secure software development practices, including secret management, dependency hygiene, and rigorous code reviews
  • Own systems from technical design through production operations

आवश्यकताएँ

  • At least four years of hands-on experience developing production Python backend services
  • Strong command of modern Python frameworks, ideally asynchronous frameworks such as FastAPI
  • Demonstrated production experience building or integrating LLM agents, including prompt orchestration, tool or function calling, and agentic architectures
  • Practical expertise in data modeling and database design
  • Working knowledge of frontend frameworks such as React or Vue
  • Experience packaging services with Docker
  • Hands-on experience with AWS services including EC2, IAM, VPC, and RDS, or comparable cloud platforms
  • Strong ownership of automated testing and continuous integration pipelines
  • Consistent application of secure software development practices
  • Familiarity with cybersecurity
  • Experience with Kubernetes, especially self-managed or on-premises clusters
  • Experience with vector databases such as Pinecone or Milvus, or with embedding-based retrieval and RAG systems
  • Experience using AI-agent evaluation, guardrail, or observability tools
  • Experience in air-gapped, highly regulated, or secure enterprise environments

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