Build and evolve AI capabilities and engineering accelerators across products.
Design and implement production-grade AI systems incl. LLM experiences and orchestration layers.
Create technical artifacts such as specs, evals, and workflow contracts.
Define evaluation loops for quality, latency, cost, and reliability.
Partner with product teams to identify cross-product opportunities and share capabilities.
Contribute to AI-native engineering practices and automated testing.

🎯 Requirements

5+ years of hands-on software engineering, AI, or data-intensive systems experience.
Excellent Python programming skills.
Proficiency in Azure and AWS cloud platforms.
Hands-on Generative AI technologies and applications.
Strong understanding of LLMs, retrieval-augmented generation, tools, and agents.

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