> Markdown version of [/jobs/ext/3584960-sr-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3584960-sr-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Ai Engineer - **Company:** Softchoice - **Location:** Barcelona, Spain - **Salary:** €112,143.0 - €140,179.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Open Source Technology, Software Engineering, Enterprise Search, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Generative AI, Indexer, Backend, Containerization, Kubernetes, Azure OpenAI API, Machine Learning Operations, Restful APIs, Terraform, Api Management, Docker - **Published:** October 5, 2026 - **Apply:** https://www.recruit.net/job/sr-ai-engineer-jobs/347E745D3B9EDDB6 ## About the Role A comprehensive understanding and experience with Agile methodologies applied to AI and Software Engineering. Strong proficiency in Python, with experience developing backend services, APIs, AI/ML applications Experience with Azure OpenAI Service and working with open-source LLMs. Experience building Gen AI applications. Develop and integrate RESTful APIs, focusing on Azure API management. Experience with CI/CD pipelines Knowledge of containerization/orchestration (Docker, Kubernetes) in Azure. Experience with Microsoft PromptFlow or RAGs evaluation matrix. Expertise in writing and tuning prompts for LLMs. Experience with indexing/chunking strategies for RAG applications. Work with search solutions (Azure AI Search). Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.G., using Terraform). Comfort partnering directly with non-technical business stakeholders to translate internal needs into technical solutions. 6+ years of experience in a technical capacity. Cloud certifications are an asset, particularly across Azure, AWS, and/or Google Cloud Platform. AI or machine learning certifications (e.G., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset.