Ai Engineer (Azure And Gen Ai)

Keyrus
Barcelona, Spain
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Application Integration Architecture Software Applications Microsoft Azure Cloud Computing Cloud Engineering Cloud Services Software Deployment Speech Recognition System Availability
+8 more
Large Language Models Prompt Engineering Generative AI Backend Cosmos DB Api Design Serverless Computing Key Vault

Job description

Experteer Overview As an AI Engineer at Keyrus, you will design and deliver scalable AI-powered backends on the Microsoft Azure stack, combining data, intelligence, and human decision-making.You’ll work across disciplines to transform complexity into measurable business value, building reliable, high-performance solutions in enterprise settings.You’ll stay ahead of Generative AI trends and contribute to Intelligent Document Processing initiatives.This role offers hands-on development with a consultative edge in a collaborative, international environment.Compensaciones / Beneficios - Design, develop and maintain scalable backend systems and APIs for enterprise AI solutions on Azure - Build and optimize cloud-native AI applications ensuring performance, scalability, security, and operational excellence - Integrate Generative AI technologies including RAG and speech-to-text into production environments - Leverage Azure services (Functions, App Services, Cosmos DB, Key Vault) for secure and efficient solutions - Collaborate with data scientists, AI engineers, front-end developers, and business stakeholders for seamless AI integration - Monitor, troubleshoot and optimize backend services and deployments for high availability and reliability - Stay current with Generative AI trends (LLMs, Prompt Engineering, enterprise adoption) - Contribute to Intelligent Document Processing (IDP) solutions leveraging LLMs and advanced document understanding techniquesResponsabilidades - 2+ years of backend systems and cloud-based solution development - Proven experience deploying AI-powered applications in production - Experience working in Agile and multidisciplinary teams - Professional proficiency in Spanish and English - Backend development and API design experience - Hands-on Azure AI and cloud services experience (Azure Functions, App Services, Cosmos DB, Key Vault) - Experience integrating Generative AI solutions (LLMs, Prompt Engineering, RAG, Speech-to-Text) - Knowledge of monitoring, troubleshooting, and deployment best practices - Strong analytical and problem-solving skills - Ability to translate technical concepts into practical business solutionsRequisitos principales - Competitive salary - Annual performance bonus - Meal allowance (Restaurant Tickets) - Private medical insurance with Sanitas - 22 days annual leave (27 with progression) - Continuous learning via KLX

Requirements

document understanding techniquesResponsabilidades - 2+ years of backend systems and cloud-based solution development - Proven experience deploying AI-powered applications in production - Experience working in Agile and multidisciplinary teams - Professional proficiency in Spanish and English - Backend development and API design experience - Hands-on Azure AI and cloud services experience (Azure Functions, App Services, Cosmos DB, Key Vault) - Experience integrating Generative AI solutions (LLMs, Prompt Engineering, RAG, Speech-to-Text) - Knowledge of monitoring, troubleshooting, and deployment best practices - Strong analytical and problem-solving skills - Ability to translate technical concepts into practical business solutionsRequisitos principales - Competitive salary - Annual performance bonus - Meal allowance (Restaurant Tickets) - Private medical insurance with Sanitas - 22 days annual leave (27 with progression) - Continuous learning via KLX

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

4:55 min

Centralizing credentials management using Azure Key Vault resource integration

Marcel Lupo · LIVE

6:35 min

Evaluating blob storage against cosmos db for unstructured data

Menaka Baskerpillai · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

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