Ai Engineer

Amaris
Cantabria, Spain
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
7 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Code Review Continuous Integration Software Design Patterns DevOps Machine Learning Software Construction Software Deployment
+11 more
Software Engineering Cloud Platform System Large Language Models Generative AI Backend Gitlab Git Cosmos DB Machine Learning Operations Key Vault Jenkins

Job description

Join Amaris Consulting and work on cutting?edge AI Engineer that serve thousands of users worldwide.Be part of an international team, grow in an agile environment, and develop your career within a global group that values innovation, collaboration, and talent.Your mission & impact As a Senior AI Engineer (7-10 years of experience), you will play a key role in the design, development, deployment, and operation of scalable and secure AI solutions on Azure.You will be a core member of multidisciplinary squads, combining your expertise in backend engineering, cloud, and Dev Ops/ML Ops practices to build and operate business?critical services.What we’re looking for +7 years of experience in backend development and/or software engineering, ideally in cloud environments.Strong experience in designing and developing scalable backend systems and APIs.Proven experience in building AI solutions (Machine Learning / Generative AI / LLMs).Hands?on knowledge of Azure and its ecosystem (Functions, App Services, Cosmos DB, Key Vault, etc.).Experience with CI/CD and production deployments (Azure Dev Ops, Git Lab CI, Git Hub Actions, Jenkins…).Solid understanding of software engineering best practices: clean code, design patterns, testing, code review, documentation.Professional level of English, able to collaborate with international teams.

Requirements

Your mission & impact As a Senior AI Engineer (7-10 years of experience), you will play a key role in the design, development, deployment, and operation of scalable and secure AI solutions on Azure. You will be a core member of multidisciplinary squads, combining your expertise in backend engineering, cloud, and Dev Ops/ML Ops practices to build and operate business?critical services. What we’re looking for +7 years of experience in backend development and/or software engineering, ideally in cloud environments. Strong experience in designing and developing scalable backend systems and APIs. Proven experience in building AI solutions (Machine Learning / Generative AI / LLMs). Hands?on knowledge of Azure and its ecosystem (Functions, App Services, Cosmos DB, Key Vault, etc.). Experience with CI/CD and production deployments (Azure Dev Ops, Git Lab CI, Git Hub Actions, Jenkins…). Solid understanding of software engineering best practices: clean code, design patterns, testing, code review, documentation. Professional level of English, able to collaborate with international teams.

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