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# Full Stack Engineer - Knowledge Graph & Agentic Ai

- **Company:** K&K Talents
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Performance Management, Information Engineering, Data Integration, Graph Database, Python (Programming Language), Performance Tuning, Software Engineering, SPARQL, SQL Databases, ReactJS, Large Language Models, Snowflake, AI Platforms, Information Technology, Collibra, Data Management, Virtual Agents, Mulesoft
- **Published:** September 14, 2026
- **Apply:** https://www.buscojobs.com.es/full-stack-engineer-knowledge-graph-agentic-ai-en-barcelona-ID-371773435

## About the Role

5-10 years of relevant experience in
Data Engineering, AI Engineering or Software Engineering
.
Proven experience delivering
Semantic Knowledge Graph solutions
.
Strong hands-on experience with
Knowledge Graphs - AWS Neptune, RDF, SPARQL
.
Experience with
integration and API performance optimization
.
Hands-on experience with
MCP endpoints/tools
.
Strong experience with
MuleSoft APIs
.
Experience with
SLM/LLM integration and fine-tuning
.
Experience with
RAG, vector databases and Agentic AI
.
Strong skills in
Python, React and SQL
.
Experience with
Snowflake, dbt and Fivetran
.
Good knowledge of
AWS, including AWS Bedrock
.
Preferred Skills:
Experience with
Collibra and Immuta
.
Experience with complex enterprise Knowledge Graph environments.
Master's degree in Computer Science, Data Management or a related field.
Strong stakeholder management, documentation and cross-cultural collaboration skills.
Note: Applicants for employment in Spain should possess work authorisation, which does not require sponsorship by the employer for a visa.

## Description

K&K Talentsis an international recruitment agency that has been providing technical resources in the European regionsince ****.This position is with one of ourclients in Spain, which is actively hiring candidates to expand its team.Title: Full Stack Engineer - Knowledge Graph & Agentic AILocation: Barcelona, Spain (2 days onsite/week)Employment Type: ContractRole:We are looking for aFull Stack Engineer - Knowledge Graph & Agentic AIto join an exciting project. The role focuses on building scalabledata and AI platforms, combining Semantic Knowledge Graphs, RAG architecture, APIs, MCP endpoints, vector databases and Agentic AI.You will work closely with data scientists, ontologists, architects, product managers and business stakeholders to deliver secure, scalable and high-quality data products for AI and analytics use cases.Responsibilities:Build and maintainSemantic Knowledge Graphsusing AWS Neptune.DevelopRAG and Agentic AI solutionsusing Knowledge Graphs and vector databases.BuildMCP endpoints and APIsfor AI use cases.Develop data integrations and pipelines using modern cloud data technologies.Integrate solutions withMuleSoft, SLMs and LLMs.Optimize integration and API performance.Work with technical and business stakeholders in an Agile environment.Required Skills:5-10 years of relevant experience inData Engineering, AI Engineering or Software Engineering.Proven experience deliveringSemantic Knowledge Graph solutions.Strong hands-on experience withKnowledge Graphs - AWS Neptune, RDF, SPARQL.Experience withintegration and API performance optimization.Hands-on experience withMCP endpoints/tools.Strong experience withMuleSoft APIs.Experience withSLM/LLM integration and fine-tuning.Experience withRAG, vector databases and Agentic AI.Strong skills inPython, React and SQL.Experience withSnowflake, dbt and Fivetran.Good knowledge ofAWS, including AWS Bedrock.Preferred Skills:Experience withCollibra and Immuta.Experience with complex enterprise Knowledge Graph environments.Master's degree in Computer Science, Data Management or a related field.Strong stakeholder management, documentation and cross-cultural collaboration skills.Note: Applicants for employment in Spain should possess work authorisation, which does not require sponsorship by the employer for a visa.


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