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Build Products End to End: Analyze, scope, and implement product features and APIs with clean, maintainable, well-tested code. Take problems from requirement to production with increasing independence.
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Implement AI agent workflows: Build and integrate LLM-powered agentic features: tool/function calling, prompt orchestration, retrieval, and the guardrails that keep autonomous actions safe and auditable.
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Feed the agents: Develop & manage ingestion streams, ETL pipelines, and the data architectures that give agents the data they need to automate workflows, and execute operational tasks.
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Own the cloud data stack: Build and run services on GCP with data based transformations, and own the infrastructure and deployment paths for what you ship.
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3+ years of full-time experience building and shipping production backend systems and web applications
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Strong fundamentals in data structures, algorithms, and system architecture. You can design a system and defend the tradeoffs.
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Real experience building data pipelines — event-driven, batch or streaming — and owning their correctness, cost and failure modes.
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Familiarity with the agent stack: model APIs, prompt orchestration, tool-calling, retrieval, and how you tell whether the agent is actually right.
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Hands-on with agentic application development: model APIs, prompt design, and tool-calling patterns. You also code with AI tools daily without dropping the bar on correctness and review.
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Comfort with cloud services , event-driven architectures, exposure to BI or analytics platforms is a plus.
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Product thinking and 0-to-1 experience. You work directly with product folks across functions and geographies, shape scope when the spec is a conversation, and debug and optimize what you own without waiting to be asked