Build data and AI systems end-to-end — from pipelines and evaluation to production-grade LLM apps, with a focus on reliability, security, and maintainability.
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Design, build, and operate data pipelines and feature stores.
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Develop LLM/RAG workflows with evaluation and monitoring.
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Ship production APIs and services with reliability and security best practices.
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Collaborate with product and engineering teams to turn ideas into deliverables.
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Strong fundamentals in backend engineering and system design.
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Hands-on experience with Python/Node, APIs, databases, and cloud basics.
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Practical exposure to ML/LLM tooling (prompting, embeddings, vector DBs, evaluation).
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Comfortable with testing, CI/CD, and observability.
Join the team of innovators who is turning challenges into meaningful change.
