AI Engineer - Permanent

Collective

Barcelona, Spain

12 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

4 years minimum

Working hours

Regular working hours

Languages

English, Spanish

Job source

www.indeed.com

Tech stack

Adobe InDesign Application Programming Interfaces (APIs) Artificial Intelligence Application Services Microsoft Azure Monitoring of Systems Key Management Systems Integration Speech Recognition System Availability Large Language Models Prompt Engineering

+5 more

Generative AI Backend Cosmos DB Front End Software Development Serverless Computing

Job description

We are looking for an AI Engineer to contribute to the development of projects within an AI program. The mission focuses on developing scalable backend systems and APIs to support AI solutions built on Azure services, and on integrating AI models into production environments. Technical environment: Microsoft., * Develop scalable backend systems and APIs to support AI solutions using Azure services.

Build and optimize cloud-based AI solutions.
Integrate advanced AI functionalities such as Retrieval-Augmented Generation (RAG), speech-to-text, and other AI models into production environments.
Use resources such as Azure Functions, App Services, Cosmos DB, and Azure Key Vault to enhance solution performance, security, and efficiency.
Collaborate with data scientists, AI engineers, and frontend developers to ensure seamless integration of AI models and solutions.
Monitor system performance, troubleshoot issues, and resolve problems related to backend services and AI model deployments, ensuring high availability and reliability.
Maintain an in-depth understanding of market trends in Generative AI, particularly around LLMs and prompt engineering.
Desired: design, develop, and implement Intelligent Document Processing (IDP) solutions leveraging Large Language Models (LLMs).

Tools & Environment

Azure Functions
Azure App Services
Cosmos DB
Azure Key Vault
Generative AI technologies (LLMs, prompt engineering)
Retrieval-Augmented Generation (RAG)
Speech-to-text integration

Requirements

4 years of relevant experience in developing scalable backend systems and APIs supporting AI solutions on Azure
Experience building and optimizing cloud-based AI solutions
Proven skills in integrating advanced AI functionalities such as Retrieval-Augmented Generation (RAG), speech-to-text, and other AI models into production environments
Hands-on experience with Azure Functions, App Services, Cosmos DB, and Azure Key Vault
Ability to monitor, troubleshoot, and resolve issues related to backend services and AI model deployments
In-depth understanding of market trends in Generative AI, particularly Large Language Models (LLMs) and prompt engineering
Fluency in Spanish and English
Preferred: experience in design, development, and implementation of Intelligent Document Processing (IDP) solutions leveraging LLMs