Generative AI Engineer
- תל אביב
- זמנית
- משרה מלאה
- 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
- Hands-on with vector databases (Pinecone, Weaviate, PGVector) or semantic search systems
- Experience implementing policy, safety, or red-teaming frameworks around GenAI
- Open-source contributions or published research in NLP / generative modeling
- Prior work with voice bots, multimodal models, or real-time streaming architectures
- A seat at the table where the future of insurance and AI-first products is being written
- Zero legacy code guilt: new services, green-field models, and the freedom to choose the right tech
- Top-of-the-line gear, stocks, and a benefits package that makes insurance look good (go figure)
- A culture that trusts you to do your best work without timesheets or endless meetings
Mploy