Generative AI & Agent Architect (Backend)

T-Systems; Reus; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Teleworking options

4 weeks telework per year

Tailor-made training (Coursera)

Weekly language classes (English,-Sp}

Global Mentoring Sessions

Job summary

T-Systems seeks a Software Engineer specialized in Generative AI solutions and agentic architectures, with a focus on backend systems and data platforms for corporate environments. You will participate in building agent-based use cases, integrating language models, external tools and data sources within a governed platform ready for production.

You will implement agentic flows, document processing and RAG pipelines, and collaborate with architects, data scientists and business teams in a hybrid,

Qualifications

• 5+ years of experience developing backend solutions.
• Approximately 3 years of experience in AI or Data exploitation projects.
• Experience with Generative AI and semantic data processing (RAG, ontologies) on Cloud or OnPrem.
• Direct experience with LLMs.
• 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.

Responsibilities

• Development of backend components for AI- and agent-based solutions.
• Implementation of agentic flows (orchestration, tool calling, context management).
• Implementation of document processing and RAG pipelines.
• Collaboration with architects, data scientists and business teams.

Skills

Backend development

AI projects

Generative AI

LLMs

Semantic databases

LangChain

Langraph

CrewAI

n8n

DevOps

LLMOps

MLOps

English

Tools

LangChain

n8n

Langraph

Job description

T-Systems seeks a Software Engineer specialized in Generative AI solutions and agentic architectures, with a focus on backend systems and data platforms for corporate environments. You will participate in building agent-based use cases, integrating language models, external tools and data sources within a governed platform ready for production.

You will implement agentic flows, document processing and RAG pipelines, and collaborate with architects, data scientists and business teams in a hybrid,