Dream
Dream
Dream yra gynybos ir dirbtinio intelekto įmonė, kurianti dirbtinio intelekto platformą kibernetiniam atsparumui stiprinti. Jos technologija skirta padėti vyriausybėms stiprinti nacionalinį saugumą, paverčiant didelės apimties kibernetinius duomenis aiškesniu situacijos suvokimu, prognozuojamąja gynyba ir realiuoju laiku vykdomu grėsmių, susijusių su priešiškomis valstybėmis, mažinimu. Dream daugiausia dėmesio skiria duomenų iššūkiams, dėl kurių šiuolaikinė kibernetinė gynyba tampa sudėtinga.

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.

Aprašymas

  • 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

Reikalavimai

  • 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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