Description
At least 5+ years Python, with a track record of operating independently and leading technically. Proven experience designing systems and building non-trivial pipelines and workflows end to end. Designing, building, and operating high-throughput data calculation platforms.
Deep familiarity with data-intensive packages like Pandas, NumPy, and Polars. Experience building REST services, managing relational/SQL databases, working inside Linux environments, and deploying cloud/containerized infrastructure (AWS, Docker). Integrate LLMs and AI services into internal applications using APIs, orchestration frameworks, vector databases, and retrieval-augmented generation where appropriate.
Fluent in AI-assisted development. Ability to integrate AI capabilities into existing services, internal tools, and automation workflows. Comfortable reading, reviewing, optimizing, and refactoring large codebases against sound engineering practices.
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