Senior Ai Engineer (M/F/D)

T-Systems

Valencia

Hybrid

EUR 60,000 - 90,000

Full time

6 days ago

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Benefits offered by this job

Flexible compensation

Telemedicine

Health insurance

Restaurant tickets

Life and accident insurance

Social fund

Teleworking option

Language classes

Job summary

T-Systems in Spain is seeking Senior AI Engineers to design, implement and industrialize AI-based business solutions, including RAG, intelligent agents and automation. You will join multidisciplinary technical teams and contribute to backend services, data pipelines and API integrations with corporate systems and cloud services.

The ideal candidate has at least 3 years in software development, hands-on experience with generative AI, LLMs and AI tooling, and a pragmatic, delivery-focused mindset.

Qualifications

3+ years in software development and delivery of tech projects.
Experience with ITSM/CRM/ERP tools or legacy systems.
Hands-on experience with generative AI, LLMs, RAG and automation.
Experience integrating solutions with APIs and internal/external services.
Strong knowledge of Java/ .NET / Python / JS stacks and SDLC.

Responsibilities

Design, develop and integrate generative AI components into business solutions.
Implement services, APIs, connectors and backend components for AI capabilities.
Build pipelines for ingesting, normalizing and processing data.
Implement RAG solutions using knowledge bases and corpora.
Work with LLMs, embeddings, vector databases and semantic search.
Design prompts, tools, workflows, agents and structured generation.
Integrate AI with APIs, internal/external services and legacy systems.
Participate in automated code generation and service termination when needed.
Develop automations using APIs, scripts, runbooks or RPA where applicable.
Contribute to quality metrics, tests and validation of results.
Collaborate with architects, cloud teams, security and stakeholders.
Improve internal AI tools, accelerators and building blocks.

Skills

Java

.NET

Python

JavaScript/TypeScript

Backend development

API integration

CI/CD

Cloud services

English proficiency

Education

Bachelor's degree in Computer Science or similar

MECES 2 or equivalent demonstrable experience

Tools

GitHub

GitLab

Azure DevOps

CI/CD pipelines

LangChain

Azure OpenAI

Job description

Job Description We are looking for Senior AI Engineers to participate in the construction and industrialization of business solutions based on generative artificial intelligence, RAG, intelligent agents, automation, integration with corporate systems and cloud services. The selected individuals will be part of multidisciplinary technical teams and will participate in the actual implementation of AI components, data pipelines, backend services, integration with APIs, agents, prompts, tools, automations and evaluation mechanisms. A senior, practical profile with solid experience in software development and applied knowledge of generative AI is required. We will evaluate applications from all over the country, especially Seville, Granada, Tarragona, Madrid, Valencia... Cities where we have work centers.

Responsibilities

Design, develop and integrate generative AI components into business solutions.
Implement services, APIs, connectors and backend components to expose AI capabilities.
Build pipelines for ingesting, normalizing, processing and preparing structured and unstructured data.
Implement RAG solutions based on documentation, knowledge bases, historical data, documentary 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 APIs, internal services, external services, corporate tools and legacy systems.
Participate in the development and termination of services using automatic code generation tools.
Implement automations using APIs, scripts, runbooks, workflows, or RPA when applicable.
Participate in the definition and implementation of quality metrics, evaluation of responses, technical tests and validation of results.
Collaborate with architects, cloud teams, development, operation, security teams and functional stakeholders.
Participate in the continuous improvement of internal AI tools, accelerators, prompts, agents, pipelines and building blocks.
Keep up to date with the latest advances in applied AI, software development, RAG, agents, automation and cloud.

Requirements

Minimum experience of 3 years in software development and participation in the delivery of technological projects.
Knowledge of ITSM, CRM, ERP tools, corporate portals, document repositories or legacy systems.
Practical experience in generative AI solutions, LLMs, RAG, agents or intelligent automation.
Knowledge in LLMs, embeddings, vector databases, prompting, semantic retrieval and response evaluation.
Experience in backend development, APIs and system integration.
Strong development knowledge in Java, .NET, Python, Javascript/TypeScript or other business stacks.
Proficiency or good knowledge of JavaScript frameworks: Angular, React, Vue or others.
Experience with GitHub, GitLab, Azure DevOps, or other version control and CI/CD tools.
Knowledge of SDLC, DevOps, testing, observability, quality gates and good software engineering practices.
Experience integrating solutions with APIs, internal services, external services and corporate systems.
Experience in classic, agile or hybrid project management methodologies.
Experience in participating in the execution of technological projects.
Degree in Computer Science, Telecommunications, Engineering or similar. MECES 2 or equivalent demonstrable experience is recommended.

Valuable requirements

Python applied to AI, automation, data or integration.
Experience with LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI or equivalent frameworks.
Experience with Azure AI, Azure OpenAI, Azure AI Search, OpenAI API, Anthropic, Vertex AI, open-source models, or similar platforms.
Experience with vector bases: Qdrant, Weaviate, Milvus, Chroma, Pinecone, OpenSearch, Elasticsearch or others.
Experience in NLP, classification, entity extraction, clustering, semantic matching or text mining.
Experience in automation using APIs, scripts, RPA, workflows, runbooks or orchestration tools.
Experience in observability: logs, metrics, traces, health checks, dashboards or AIOps.
Knowledge in Platform Engineering, building blocks tooling, compliance tools, SBOM, quality gates and technical governance.
Certifications or training in generative AI, prompt engineering, cloud, DevOps or software development.
Experience in cloud environments: Azure, AWS, GCP,...
Experience in legacy environments or application modernization.

Personal profile

Technological curiosity and maker mentality.
Interest in new tools, architectures and different approaches to development and AI.
Collaborative profile, willing to take on diverse tasks and to lead technically when necessary.
Ability to translate complex ideas into practical solutions.
Delivery orientation, technical quality and continuous improvement.
Ability to work in multidisciplinary teams.
Autonomy to research, propose, build, test and document solutions.
Good communication with technical, functional and customer profiles.
Pragmatic mindset to balance innovation, maintainability and real business value.

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