HiTakeJobHiTakeJob

Gen AI Engineer - Connecteam

  • חברה: Connecteam
  • מיקום: תל אביב - יפו
  • טכנולוגיות: TypeScript/JavaScript, React, Python (or Node/Go for backend), LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD), vector databases (e.g., Pinecone, Weaviate, FAISS)

תיאור המשרה

8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend). Solid understanding of LLM APIs , agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines- Advantage Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD). Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG)- Advantage Product-oriented mindset: you care deeply about building things that work well for users. Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques.

תחומי אחריות

We’re looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users. This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.

דרישות

8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend). Solid understanding of LLM APIs , agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines- Advantage Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD). Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG)- Advantage Product-oriented mindset: you care deeply about building things that work well for users. Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques.