AI-Native Software Engineer — Multi-Agent Systems

Zebra People Ltd; United States; Remote; USD 90,000 - 140,000; Full time

Job summary

Zebra People Ltd is seeking a graduate or early-career Software Engineer excited by AI-native development and agents changing software. The role offers autonomy to explore, test ideas and take ownership of what you build.

You'll work on AI-powered products, experiment with agent frameworks and contribute to end-to-end development. Strong foundations in software engineering and a curiosity-driven approach are key.

Qualifications

• Solid software engineering fundamentals across backend or full-stack.
• Hands-on experience with AI coding tools like Claude Code or Codex.
• Experience building with AI agents or agentic workflows.
• Some exposure to multi-agent systems and agent communication.
• Comfortable with APIs and modern development tooling.
• Evidence of building software via projects or GitHub.
• Genuine interest in new AI models and tools.

Responsibilities

• Build AI-powered software products and contribute to the codebase.
• Work with AI agents and multi-agent systems to orchestrate tasks.
• Develop workflows where agents communicate, coordinate and delegate.
• Experiment with new tools and agent frameworks as part of development.
• Cover the full software lifecycle from idea to testing and deployment.
• Contribute ideas on how AI can improve the product and development flow.
• Take ownership and work independently in an output-focused environment.

Skills

Strong foundations

Curious by nature

Autonomous worker

Open to learning

Tools

Claude Code

Cursor

Codex

LangGraph

MCP

Job description

Zebra People Ltd is seeking a graduate or early-career Software Engineer excited by AI-native development and agents changing software. The role offers autonomy to explore, test ideas and take ownership of what you build.

You'll work on AI-powered products, experiment with agent frameworks and contribute to end-to-end development. Strong foundations in software engineering and a curiosity-driven approach are key.