AI Stealth Startup- Backend Engineer Senior- Core team - Tel Aviv-Yafo
2 days ago
Job description
About Us
We're an AI-powered platform revolutionizing enterprise application development. Backed by Team8 VC and top-tier angels from the industry, our team of second-time founders brings proven experience in building and scaling successful tech companies. Small but mighty team with zero bureaucracy and maximum impact - where your code directly shapes the future of AI-driven solutions.
About the Role
We're seeking a senior backend engineer who's hungry for impact and takes extreme ownership. You'll architect and build the core platform that powers our AI-driven enterprise application generation system. This is a senior backend role with platform engineering depth - you'll design scalable systems, build the infrastructure that enables AI agents to work, and own the backend from architecture to production.
In This Role You'll
- Architect and build the core platform infrastructure - the foundation that powers our AI-driven enterprise application generation
- Own complete features end-to-end - from initial design and architecture through implementation, deployment, monitoring, and iteration based on production feedback
- Design, build, and own end-to-end Generative AI services - from first prompt to production rollout including multi-agent workflows - combining RAG, function calling, and tool chaining.
- Build and scale Python backend services and AI/ML pipelines with the ability to handle platform-level complexity and scale
- Deploy and maintain solutions on AWS cloud infrastructure - contribute to CI/CD, deployment automation, and DevOps tooling
Must have:
- 5 years building production-grade backend, with experience building platforms from the ground up
- Strong proficiency in Python and modern backend frameworks (FastAPI, Flask, Django) with platform engineering mindset
- Deep cloud experience (AWS preferred) - architecting and deploying production systems at scale
- Experience architecting and building scalable backend platforms - you've designed core systems that others build on top of
- Tangible experience with LLMs - prompting, fine-tuning, or deploying them behind an API
- Track record of extreme ownership - you ship it, you own it; taking systems from concept to production independently
- "Can-do" approach - you've solved hard problems and know how to figure things out
Nice to have:
- React, TypeScript, and JavaScript skills for frontend contribution
- Hands-on with vector databases
- Experience with common ML toolkits - Pandas, Scikit-learn, TensorFlow, PyTorch, Langchain
- Experience implementing policy, safety or red-teaming frameworks around GenAI
- Experience with multi-agent AI systems or agentic workflows
- Open-source contributions or published research in NLP / generative modeling
- Salesforce (SFDC) development experience (Apex, SOQL, Metadata API)
- Builder platform experience - systems that enable others to build and create
- Experience with graph databases or knowledge graph systems
- DevOps and infrastructure automation (Terraform, CI/CD)
- Previous startup or high-growth company experience
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