We have one open position of Artificial Intelligence Engineer with one of our client based at Madrid, Spain. This is a Permanent/Fulltime position. Below is the full job description for your reference. Please share your application once you are interested
Role: Artificial Intelligence Engineer
Mode: Permanent/Fulltime
Location: Madrid, Spain
Job Description:
We are looking for strong technical profiles to join a strategic initiative focused on building enterprise knowledge bases knowledge graphs semantic layers and AI powered data access capabilities in a regulated banking environment The role is hands-on and product oriented with responsibility across design development integration and industrialization of reusable components for structured and unstructured data exploitation
Key responsibilities
* Design and implement knowledgebase creation and maintenance pipelines including semantic layer generation data graph creation and vector database pipelines
* Develop services and components for knowledgebase exposure and consumption including APIs assistant style interfaces and AI LLM based retrieval capabilities
* Integrate structured and unstructured enterprise repositories such as lake platforms S3file storage SharePoint FileNet and similar sources
* Build and evolve RAG semantic search metadata enrichment and natural language to data capabilities including Text to SQL where relevant
* Contribute to humanin the loop workflows quality controls monitoring observability and production readiness of the platform
* Work closely with technical leads architects data teams and business stakeholders in agile delivery squads
Required experience and skills
* Strong hands-on experience in Python and solid SQL skills
* Proven experience in software engineering data engineering or AI engineering in production environments
* Hindson experience with graph databases including data modeling and query development using Gremlin SPARQL and/or Cypher
* Strong experience designing and building RESTful APIs using Fast API or similar frameworks including async patterns and performance optimization
* Practical experience integrating and consuming LLM services in cloud environments especially AWS Bedrock or similar platforms
* Solid experience with relational databases such as PostgreSQL and cloud native variants like Amazon Aurora including schema design and performance tuning
* Experience building data access layers combining SQL graph queries and vector search
* Practical knowledge of Docker Git based workflows and CICD practices
* Experience working with cloud platforms Azure and AWS with deep experience in at least one AWS strongly preferred
* Strong understanding of scalability reliability security and maintainability considerations in enterprise systems
Nice to have Advanced AI Data Access Patterns
* Experience implementing GraphRAG or graph enhanced retrieval architectures
* Knowledge of semantic modeling and ontology driven data access
* Experience building agent based systems leveraging structured and unstructured enterprise data
* Familiarity with federated query systems or data virtualization layers
Mandatory Skills : GenAI - LLMOps, PostgreSQL
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