Gen AI Engineer

About the role

Connecteam, a Tel Aviv-based startup building a business management platform for deskless workers, is looking for a Gen AI Engineer to design, build and deploy intelligent agentic systems across its product ecosystem. The role sits at the intersection of machine learning, backend systems and modern frontend technologies, and is hands-on and cross-functional, covering data pipelines, LLM orchestration and UI experiences.

Key responsibilities

• Design and implement autonomous or semi-autonomous agents using LLMs (OpenAI, Anthropic, open-source models)
• Use prompt engineering, RAG pipelines and tool/plugin integrations to connect agents to internal and external systems
• Build scalable agent runtimes and orchestration layers (LangChain, Semantic Kernel, ReAct-based agents)
• Own full-stack features end-to-end, from backend APIs and data models to React-based frontend interfaces
• Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance
• Build and maintain backend services and pipelines supporting AI agents, including vector search, embeddings, function calling and observability
• Optimize inference flows for performance and cost, possibly using streaming, caching or local model inference
• Keep systems secure, reliable and compliant with InfoSec standards
• Rapidly prototype and iterate on new AI capabilities, analyze performance and usage metrics, and stay up to date with the AI toolchain

Required profile

• 8+ years of fullstack development experience
• Strong product-oriented mindset focused on what works well for users
• Advantage: experience with observability, feedback loops for AI agents or embedded AI evaluation techniques

Required skills

• TypeScript/JavaScript, React and Python (or Node/Go for backend)
• LLM APIs and agent frameworks such as LangChain, AutoGPT, CrewAI or custom AI pipelines
• Modern cloud infrastructure (AWS, GCP, Docker, CI/CD)
• Vector databases (Pinecone, Weaviate, FAISS) and RAG (advantage)

What we offer

• Competitive compensation, equity and benefits in a fast-growing company
• Hybrid work arrangement
• A close-knit team of engineers, product leaders and data scientists in a nimble environment