Javascript and Python Developer (AI)

Onyx-Conseil

Barcelona

Presencial

EUR 70.000 - 110.000

Jornada completa

Hace 4 días

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Descripción de la vacante

Onyx-Conseil is seeking a Senior Full Stack Developer with strong AI expertise to build and deploy AI solutions in production. The role involves backend and AI integration end to end within an Agile Scrum team alongside data scientists, AI engineers and frontend developers. Deliverable: working software.

The candidate will develop scalable backend systems on Azure, integrate AI features like RAG and speech-to-text, and maintain deployment pipelines for production-grade AI models.

Responsabilidades

Develop scalable backend systems and APIs on Azure to support AI solutions.
Integrate AI functionalities into production: RAG, speech-to-text and other AI models.
Leverage Azure Functions, App Services, Cosmos DB and Key Vault for performance, security and efficiency.
Monitor, troubleshoot and resolve issues on backend services and AI model deployments.
Stay current on Generative AI trends, particularly LLMs and prompt engineering.
Design and implement Intelligent Document Processing (IDP) solutions using LLMs (desirable).

Descripción del empleo

We are looking for a Senior Full Stack Developer with strong AI expertise to build and deploy AI solutions in production. Backend and AI integration end to end, in an Agile Scrum team alongside data scientists, AI engineers and frontend developers. Deliverable: working software.

Main Responsibilities & Key Activities:

Develop scalable backend systems and APIs on Azure to support AI solutions.
Integrate advanced AI functionalities into production: RAG, speech-to-text and other AI models.
Leverage Azure Functions, App Services, Cosmos DB and Key Vault for performance, security and efficiency.
Monitor, troubleshoot and resolve issues on backend services and AI model deployments.
Stay current on Generative AI trends, particularly LLMs and prompt engineering.
Desired: design and implement Intelligent Document Processing (IDP) solutions using LLMs.