Distributed Cloud | GenAI Engineer

Job Description

We design and build enterprise‑grade Generative AI solutions that run in production. LLMs are treated as software components within robust, scalable, and observable systems, not as experimental tools. Our solutions are cloud‑agnostic by design, and can be deployed on Azure, AWS, or GCP, while selectively leveraging managed services when they add real value (e.g. search, AI, or data platforms).

Your mission is to own the technical design and implementation of end‑to‑end Generative AI solutions, ensuring strong software engineering practices, sound architectural decisions, and reliable integration of LLM‑based components into real‑world systems. This role is hands‑on and technical, with responsibility for technical leadership, mentoring, and architectural decision‑making.

Key Responsibilities

• Design and build scalable backend systems in Python (APIs, services, pipelines).
• Integrate LLMs into production systems (RAG...

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