Senior Backend Engineer- Agentic AI
Dream, a sovereign AI and national cyber-defense company for governments, is hiring a Senior Backend Engineer in Tel Aviv to build production-grade Python services and LLM-powered agentic AI systems — covering prompt orchestration, tool calling, retrieval, data modeling, and secure AWS deployment. It's backend-first with some full-stack work connecting AI to user-facing apps.
- Compensation
- Not disclosed
- Location
- Tel Aviv-Jaffa, Tel Aviv District
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Backend
- Posted
Skills
Must have
- 4+ years of hands-on experience building production-level backend services in Python
- Strong experience with modern Python frameworks, preferably asynchronous frameworks such as FastAPI
- Proven experience building or integrating LLM-based agents in production, including prompt orchestration, tool or function calling, and agentic architectures
- Solid practical experience with data modeling and database design
- Working knowledge of frontend frameworks such as React or Vue
- Experience containerizing services with Docker
- Hands-on experience with AWS services such as EC2, IAM, VPC, and RDS, or equivalent cloud technologies
- Strong ownership of automated testing and CI pipelines
- A disciplined approach to secure software development
Nice to have
- Familiarity with the cybersecurity domain
- Experience with Kubernetes, particularly self-managed or on-premises clusters
- Experience with vector databases such as Pinecone or Milvus, or embedding-based retrieval and RAG systems
- Experience with AI-agent evaluation, guardrails, or observability tools
- Experience working in air-gapped, highly regulated, or secure enterprise environments
Full description
Every nation has data. Few can protect it. Fewer still can act on it.
Dream is the sovereign AI and national cyber-defense company for governments.
We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world.
We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign.
The Dream Job
We’re looking for a Senior Backend Engineer to build production-grade systems at the intersection of backend engineering and agentic AI.
You’ll design the services and data architecture behind LLM-powered agents, from prompt orchestration and tool calling to retrieval and production observability. While the role is backend-first, you’ll work across the stack when needed, connecting AI capabilities to user-facing experiences and owning the path from architecture to secure deployment.
This is an opportunity to build and shape intelligent systems built for highly secure, from-scratch, regulated environments where reliability, precision, and engineering quality truly matter.
The Dream-Maker Responsibilities
- Design, build, and operate scalable backend services in Python.
- Build and integrate LLM-based agents using prompt orchestration, tool and function calling, and agentic architecture patterns.
- Own data modeling and database design for complex, production-grade systems.
- Connect backend and AI capabilities to user-facing applications.
- Containerize and deploy services in AWS-based environments.
- Build automated testing and CI pipelines that support fast, reliable delivery.
- Apply secure SDLC practices, including secret management, dependency hygiene, and thorough code reviews.
- Take end-to-end ownership of systems, from technical design through production operation.
The Dream Skill Set
- 4+ years of hands-on experience building production-level backend services in Python.
- Strong experience with modern Python frameworks, preferably asynchronous frameworks such as FastAPI.
- Proven experience building or integrating LLM-based agents in production, including prompt orchestration, tool or function calling, and agentic architectures.
- Solid practical experience with data modeling and database design.