- Location
- Tel Aviv-Yafo, Tel Aviv District, Israel
- Department
- R&D
- Seniority
- Senior
- Source
- Greenhouse
Description
About Unframe
Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV.
About the role:
As a Senior Full-Stack Engineer, you'll help build and evolve our AI Agent platform for IT Service Management. You'll take end-to-end ownership of product features, collaborate closely with cross-functional teams, and deliver AI-powered capabilities for enterprise customers.
What you'll do:
- Build and scale full-stack features across frontend, backend, and AI agents.
- Develop AI agents using Claude, Gemini, and OpenAI APIs.
- Design reliable, scalable, and cost-efficient agent workflows using context management, prompt caching, and tool use.
- Define engineering standards and contribute to architecture decisions.
- Work closely with product, engineering, and research teams.
What we're looking for:
- 7+ years of hands-on full-stack development experience.
- Strong experience with React/Vue, TypeScript, and Python.
- Experience working with LLM APIs (Claude, Gemini, OpenAI) and AI agent development.
- Experience with AWS, GCP, Kubernetes, PostgreSQL, Terraform, Airflow (MWAA), or EMR.
- Product mindset with experience building scalable, production-ready systems.
- Experience in fast-paced startup environments.
- Strong communication skills and the ability to thrive in ambiguous environments.
Nice to have:
- Engineering management experience alongside a strong individual contributor background.
- Experience with harness engineering.
- Experience building security-sensitive infrastructure (sandboxing, workload isolation, credential management, or access control).
- Experience deploying LLM or AI agent systems in enterprise or regulated environments.
Why join us?
- Real ownership from day one. Drive decisions, shape ideas and make them work.
- Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
- You'll have the opportunity to write and build what comes next.
Ready to Build the Future?
If this opportunity excites you, apply now!
