AI Developer

About the role

Connecteam, a Tel Aviv-based startup building a business management platform for deskless workers, is looking for an AI Developer 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 suits engineers who enjoy full-stack features from data pipelines and LLM orchestration to intuitive UIs.

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
• Solid understanding of LLM APIs, agent frameworks (e.g. LangChain, AutoGPT, CrewAI) or custom AI pipelines
• Experience with modern cloud infrastructure (AWS, GCP, Docker, CI/CD)
• Familiarity with vector databases (Pinecone, Weaviate, FAISS) and RAG is an advantage
• Product-oriented mindset focused on what works well for users
• Bonus: experience with observability, feedback loops for AI agents or embedded AI evaluation

Required skills

• TypeScript/JavaScript, React and Python (or Node/Go for backend)
• LLM APIs, LangChain, AutoGPT, CrewAI
• Vector databases and RAG

What we offer

• Competitive compensation, equity and benefits
• A nimble environment where engineers can own impactful systems and ship fast
• Hybrid work arrangement (#LI-Hybrid)