Senior AI Engineer (m/f/d)
T-Systems Iberia1 day ago
Gijón, Spain +7 moreSenior
Responsibilities
- Design, develop, and integrate generative-AI components into enterprise solutions.
- Implement services, APIs, connectors, and backend components that expose AI capabilities.
- Build ingestion, normalization, processing, and preparation pipelines for structured and unstructured data.
- Implement RAG solutions over documentation, knowledge bases, historical data, document repositories, and corporate sources.
- Work with LLMs, embeddings, vector databases, semantic-search engines, and agent frameworks.
- Design and implement prompts, tools, workflows, agents, and structured-generation mechanisms.
- Integrate AI solutions with internal and external APIs, corporate tools, and legacy systems.
- Develop and complete services using automatic code-generation tools.
- Implement automation using APIs, scripts, runbooks, workflows, or RPA where appropriate.
- Define and implement quality metrics, response evaluation, technical testing, and result validation.
- Collaborate with architects, cloud, development, operations, security, and functional stakeholder teams.
- Improve internal AI tools, accelerators, prompts, agents, pipelines, and building blocks continuously.
Requirements
- At least 3 years of software-development experience and participation in technology-project delivery.
- Practical experience with generative-AI solutions, LLMs, RAG, agents, or intelligent automation.
- Knowledge of LLMs, embeddings, vector databases, prompting, semantic retrieval, and response evaluation.
- Backend-development, API-development, and systems-integration experience.
- Strong development knowledge in Java, .NET, Python, JavaScript/TypeScript, or other enterprise stacks.
- Experience with GitHub, GitLab, Azure DevOps, or equivalent version-control and CI/CD tools.
- Experience integrating solutions with APIs, internal and external services, and corporate systems.
- Python experience applied to AI, automation, data, or integration is valued.
- Experience with LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent agent frameworks is valued.
- Experience with Azure AI, Azure OpenAI, Azure AI Search, OpenAI API, Anthropic, Vertex AI, open-source models, or similar platforms is valued.
- Experience with Qdrant, Weaviate, Milvus, Chroma, Pinecone, OpenSearch, Elasticsearch, or other vector databases is valued.
- Experience in NLP, classification, entity extraction, clustering, semantic matching, or text mining is valued.
- Experience with API, script, RPA, workflow, runbook, or orchestration-tool automation is valued.
- Experience with observability, including logs, metrics, traces, health checks, dashboards, or AIOps, is valued.
- Experience in Azure, AWS, GCP, or other cloud environments is valued.
Benefits
- Hybrid work model with two office days and three remote days, plus four weeks of telework per year.
- Flexible working hours.
- International, dynamic, and collaborative work environment.
- T-Social social, sports, community, and health initiatives.
- Personalized training with access to Coursera.
- Weekly English, Spanish, and German language classes.
- Global mentoring sessions and Experience Days.
- Flexible compensation plan including health insurance, meal vouchers, childcare, and transportation.
- Telemedicine, life and accident insurance, and a social fund.
- More than 26 working days of annual vacation.
- Free access to health, wellbeing, and legal-advice specialists.
- 100% of salary during medical leave.
Tech Stack
Categories
About T-Systems Iberia
T-Systems Iberia provides IT services and consulting—cloud migration and managed services, SAP, outsourcing, and AI/ML platforms—for enterprises and public-sector organizations in Spain and Portugal. It designs and operates hybrid-cloud, data, and application modernization projects, including MLOps pipelines and systems integration. Headquartered in Barcelona and founded in 2001, it is the Iberian arm of T-Systems, the IT services subsidiary of Deutsche Telekom.