AI/ML Engineer, R&D
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The role
Develop rapid, fully functional AI-powered prototypes from concept to demonstration in days, spanning backend services, APIs, data pipelines, and frontend interfaces.
Build end-to-end solutions on AWS and Azure with serverless components, containers, and infrastructure-as-code to enable scalable demos.
Leverage AI coding assistants and prompt engineering to accelerate development and improve output quality.
Integrate LLMs, Retrieval-Augmented Generation (RAG), vector databases, and embedding pipelines to deliver AI-driven features.
Operate with autonomy in a fast-paced environment, delivering robust prototypes suitable for demos and user testing.
Contribute to reusable templates, best practices, and lightweight MLOps-like workflows that balance speed, security, and cost.
Build end-to-end solutions on AWS and Azure with serverless components, containers, and infrastructure-as-code to enable scalable demos.
Leverage AI coding assistants and prompt engineering to accelerate development and improve output quality.
Integrate LLMs, Retrieval-Augmented Generation (RAG), vector databases, and embedding pipelines to deliver AI-driven features.
Operate with autonomy in a fast-paced environment, delivering robust prototypes suitable for demos and user testing.
Contribute to reusable templates, best practices, and lightweight MLOps-like workflows that balance speed, security, and cost.
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