Full Stack Engineer

Full-Stack Engineer Tel-Aviv/Hybrid

About TaTiO. Our vision is a hiring market where talent is proven, not presumed. TaTiO lets people try real job tasks online so teams can see skills in action and decide based on performance. The impact: clearer signals, faster decisions, better matches, and stronger retention. As AI reshapes recruiting, the future belongs to tools that pair smart models with real performance—AI to search, match, and surface insights; simulations to provide the ground truth. That’s the path we’re building: practical AI that helps teams hire with confidence and helps candidates show what they can do.

What we’re looking for. A resourceful builder who owns production end-to-end. This isn’t “write code and toss to DevOps.” You’ll take a feature from spec → design → implementation → testing → deployment → monitoring → iteration. You’re comfortable with live systems (observability, incidents, rollbacks) and you enjoy turning ambiguous product ideas into reliable, user-facing features.

• Translate product specs into pragmatic designs, then build LLM-powered features (search, coaching, explanations) across API + UI.
• Implement RAG pipelines (chunking/embeddings, hybrid retrieval, re-ranking) and integrate vector search (pgvector/Pinecone/Weaviate).
• Own the production lifecycle: CI/CD, IaC, canary/feature flags, SLOs, monitoring/tracing, cost & latency tuning, incident response, rollbacks.
• Build clean services (Node.js/FastAPI) and modern web UIs (React/Next.js/TypeScript) with solid tests and telemetry.
• Add safety checks (PII redaction, prompt-injection checks, content filters) and privacy-first patterns that fit our domain.
• Work closely with Product and Design to ship, learn from data, and iterate.

• Builder mindset.
• Min 5+ years full-stack experience (Node.js, React, Python) with a track record of shipping and operating production systems used by real customers.
• Hands-on LLM experience (OpenAI/Anthropic/Azure OpenAI), plus LangChain/LlamaIndex and at least one vector store (pgvector/Pinecone/Weaviate/FAISS).
• Agentic AI experience. You’ve built tool-using LLM flows (function/tool calling), planned multi-step tasks, orchestrated jobs/services, and handled timeouts, retries, and human-in-the-loop. Bonus: LangGraph, crewAI, or OpenAI Assistants (or similar).
• Strong with databases (Postgres, MongoDB) and cloud (AWS or Azure), containers (Docker), CI/CD, and IaC (Terraform/CDK or similar).
• Practical prompt engineering & evaluation (golden sets, regression checks, A/Bs) with a data-driven approach to quality, latency, and cost.
• Product sense: you sweat UX details, edge cases, and reliability—because it’s going to prod.
  

• Next.js/TypeScript, GraphQL, FastAPI.
• Observability for AI & APIs (OpenTelemetry, tracing, structured logs, dashboards).
• Experience in HR-tech or responsible-AI practices (bias checks, safety reviews).
  

• Real product, real users—scaling now. 
• True ownership. You lead A→Z, influence architecture and roadmap, and see your work in production quickly.
• Tough, useful problems. Multi-tenant, multi-language, low-latency experiences, ATS/partner integrations, and privacy-first data flows.
• Mission that matters. We help people show what they can actually do—and help employers hire efficiently with confidence.
• Small, senior team. High trust, quick feedback, room to grow into domain or tech leadership.

Send your CV and a few lines about yourself and the role to  [email protected]