AI Developer

Who Connecteam is:

Connecteam is a TLV-based startup that’s on a mission to change the work experience for 80% of the world’s global workforce - the deskless employees. 

Our business management platform helps thousands of businesses thrive by taking away the daily hustle and complexities of managing teams, so they can have the peace of mind to grow and run their business.

About the Role:

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.

Responsibilities:

🧠 AI Agent Design & Integration

• Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
• Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
• Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).

🏗 Fullstack Product Development

• 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.
• Collaborate closely with design, product, and data teams to bring ideas from concept to production.

⚙️ Systems & Infrastructure

• Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
• Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
• Ensure systems are secure, reliable, and compliant with InfoSec standards.

🧪 Experimentation & Continuous Improvement

• Rapidly prototype and iterate on new AI capabilities and user experiences.
• Analyze performance and usage metrics to drive product and model improvements.
• Stay up to date with the evolving AI toolchain and emerging agent architectures.