About the Role

We’re looking for a Backend Engineer with strong Python skills and hands-on experience in building agentic systems, ideally using LangGraph, to help build the core of a next-generation task automation engine.

If you’ve been building with agents, orchestration frameworks, or language model pipelines — this is your chance to make a huge impact on a real-world AI assistant product.

What You Bring

• 3+ years of backend experience in Python, including building APIs, asynchronous services, and system architecture.
• Proven experience building agentic systems, LLM-powered tools, or orchestration pipelines.
• Familiarity with LangGraph, LangChain, or similar stateful agent management libraries.
• Experience with task decomposition, workflow engines, or control logic systems.
• Solid understanding of concurrency, state machines, and error recovery logic.
• Comfortable to work with Playwright, headless browsers, or browser automation tools.
• Knowledge of LLM input/output structuring, prompt-to-action mapping, and model integration.

Nice to Have

• Experience building developer tools, assistant-style UIs, or productivity software
• Familiarity with containerized environments (Docker), Linux, and cloud automation
• Interest in LLM alignment, feedback learning, or autonomous systems
• Contributions to open-source LangGraph/LangChain projects or your own agentic frameworks

Why Join Us

• Help power the core engine of an AI assistant for knowledge workers
• Work with a small, passionate team building product-first AI infrastructure
• Direct influence on architecture, tooling, and how the product functions day-to-day
• Flexibility to explore and implement modern, creative solutions
• Competitive compensation and high ownership in the MVP phase