Senior
Job Description We are looking for a Software Engineer specialized in Generative AI solutions and agentic architectures, with experience in the development of backend systems and data platforms in corporate environments. The profile will participate in the construction of agent-based use cases, integrating language models (LLMs), external tools and data sources, within a governed platform prepared for production. Responsibilities: Development of backend components for solutions based on AI and agents. Implementation of agentic flows (orchestration, tool calling, context management). Implementation of document processing and RAG pipelines. Collaboration with architects, data scientists and business teams. Requirements Essential Experience (+5 years) in developing backend solutions Approx. 3 years of experience in technological projects supported by AI or Data exploitation, and specifically, experience in creating solutions based on Generative AI and semantic data processing (RAG, ontologies, etc.), on Cloud or OnPrem Direct experience in LLMs, semantic databases and Genetic Frameworks such as Langraph, CrewAI, LangChain, n8n, etc. Familiarity with the use of DevOps, LLMops and MLOps technologies Conversation level English Valuable Experience in document processing (OCR, NLP) Knowledge of standards and procedures in the financial and banking sector. Technical certifications Knowledge in modern integration mechanisms such as Events, API Rest, MCP, etc. Additional Information What do we offer you? Environment and flexibility • International, dynamic and collaborative environment. • T-Social: social initiatives (sports, community, health,...). • Hybrid work model (teleworking/face-to-face). • Flexible schedule. • 4 weeks of teleworking per year. Professional Development • Tailor-made training: access to Coursera so you can learn what you want, when you want. • Weekly language classes (English, Spanish and German). • Global Mentoring Sessions and Experience Days. Compensation and benefits • Flexible compensation plan (health insurance, restaurant tickets, day care, transportation). • Telemedicine. • Life and accident insurance. • Social fund. Wellness and leisure • More than 26 working days of vacation per year. • Free access to specialists (health, wellness and legal advice). • 100% of the salary in case of medical leave. And many more advantages of being part of T-Systems! If you are looking for a new challenge, do not hesitate to send us your CV. Join our team! T-Systems Iberia will only process the CVs of applications that meet the requirements specified for each offer.
We are looking for a Software Engineer specialized in Generative AI solutions and agentic architectures, with experience in the development of backend systems and data platforms in corporate environments. The profile will participate in the construction of agent-based use cases, integrating language models (LLMs), external tools and data sources, within a governed platform prepared for production.
Development of backend components for solutions based on AI and agents
Implementation of agentic flows (orchestration, tool calling, context management)
Implementation of document processing and RAG pipelines
Collaboration with architects, data scientists and business teams
We are looking for a Software Engineer specialized in Generative AI solutions and agentic architectures with extensive backend development experience, expertise in AI and data platforms, and strong knowledge of language models and agent-based systems in corporate environments.
5+ years of experience in developing backend solutions
Approximately 3 years of experience in technological projects supported by AI or Data exploitation
Experience in creating solutions based on Generative AI and semantic data processing (RAG, ontologies, etc.) on Cloud or OnPrem
Direct experience with LLMs (Large Language Models)
Direct experience with semantic databases
Direct experience with Generative AI Frameworks such as Langraph, CrewAI, LangChain, n8n, etc.
Familiarity with DevOps technologies
Familiarity with LLMops technologies
Familiarity with MLOps technologies
Conversational level English
Experience in document processing (OCR, NLP)
Knowledge of standards and procedures in the financial and banking sector
Technical certifications
Knowledge in modern integration mechanisms such as Events, API Rest, MCP, etc.
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