Ai And Agency Engineer (M/F/D)

T-Systems

Granada

Hybrid

EUR 60,000 - 90,000

Full time

8 days ago

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Benefits offered by this job

Hybrid work model
Flexible hours
Telemedicine
Life and accident insurance
More than 26 vacation days

Job summary

T-Systems is seeking a Software Engineer specialized in Generative AI and agentic architectures to design and develop backend systems and data platforms for a governed production environment. The candidate will participate in building agent-based use cases, integrating language models (LLMs), external tools and data sources, within a platform prepared for production.

You will implement agentic flows and RAG pipelines, collaborate with architects, data scientists and business teams, and

Qualifications

  • .5+ years of backend development experience.
  • Approximately 3 years of AI/Data-driven project experience.
  • Experience with Generative AI and semantic data processing (RAG, ontologies) 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.
  • Familiarity with DevOps technologies.
  • Familiarity with LLMops technologies.
  • Familiarity with MLOps technologies.
  • Conversational level English.

Responsibilities

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

Skills

Backend development
Generative AI
LLMs
Semantic processing
DevOps
LLMops
MLOps
English (conversational)

Tools

Langraph
CrewAI
LangChain
n8n

Job description

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 hours
  • 4 weeks of teleworking per year Professional development
  • Tailor-made training: access to Coursera so you can learn what you want, whenever 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 free time
  • More than 26 working days of vacation per year
  • Free access to specialists (health, welfare and legal advice)
  • 100% of the salary in case of sick leave
  • And many more advantages of being part of T-Systems!
Your Task

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
Your Profile

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, semantic processing, and modern AI frameworks.

Must Have Skills
  • 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
Nice to Have Skills
  • 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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