In this role you'll:
Design, build, and own end-to-end Generative-AI services from first prompt to production rollout
Combine retrieval-augmented generation (RAG), function calling, and agents to automate underwriting, claims, and customer support flows
Fine-tune open-source and commercial LLMs on proprietary datasets, evaluate with both offline benchmarks and online A/B tests
Collaborate with product, data science, and design to invent new AI-first customer experiences (and kill the bad ones fast)
Build scalable APIs and micro-services (TypeScript/NestJS or Python/FastAPI) running in Kubernetes on AWS
Instrument, monitor, and continuously improve model quality, latency, and cost you ship it, you own it
Mentor fellow engineers on GenAI best practices: prompt engineering, vector search, safety & guard-rails
Contribute to internal tooling that automates the boring stuff (CI/CD, sandbox environments, branch deploys)
6+ years building production-grade backend or ML systems that real users depend on
Tangible experience with LLMs prompting, fine-tuning, or deploying them behind an API (show us what you've shipped)
Fluency in at least one backend language (TypeScript, Python) and familiarity with cloud-native infra (Docker, K8s, AWS)
Strong grounding in algorithms, data structures, and probability CS, EE, Math, or equivalent real-world chops
Demonstrated skill in building resilient, high-traffic, "can't-go-down" services (finance, gaming, ad-tech, etc.)
Passion for agentic coding: chaining tools, orchestrating workflows, letting the machine do the grunt work
Curiosity, pragmatism, and the ability to learn crazy-fast (zero bureaucracy, maximum building)
Ability to be in our Tel-Aviv office at least 3 days a week
