Senior Backend Engineer (GenAI)

Barcelona - Spain

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

We are looking for a Senior Backend Engineer with a strong GenAI background to join our team and work 100% dedicated on a strategic project for one of our top clients in the pharmaceutical sector.

In this role you will design and build advanced backend and AI-driven systems contributing to the evolution of an enterprise knowledge platform powered by Retrieval-Augmented Generation (RAG) and agentic architectures.

Main Responsibilities

Design and implement RAG architectures and agentic workflows to improve accuracy relevance and performance of AI-powered search and knowledge systems.
Develop high-quality modular and maintainable Python backend services with a strong focus on testing type hinting and clean architecture.
Build and operate document processing and data pipelines to transform unstructured data into AI-ready formats (e.g. using Airflow AWS Glue OCR tools).
Integrate backend services across complex enterprise systems including integrations via platforms such as Snaplogic.
Manage and optimize AWS cloud infrastructure (ECS EC2 VPC Lambda) ensuring scalability security and cost efficiency.
Own CI/CD pipelines and containerized workloads using Docker.
Provide technical leadership to external vendor teams validating deliverables guiding architecture decisions and internalizing platform knowledge.

Requirements

Bachelors or Masters degree in Computer Science Engineering or a related field.
5 years of experience in backend engineering with ownership of complex systems.
Advanced software engineering expertise with a strong focus on modularity testability and clean architecture.
Strong professional experience in Python (code quality testing type hinting).
Proven experience designing RAG architectures and agentic workflows.
Hands-on experience with LLM frameworks (e.g. LangChain LlamaIndex) and vector databases (Pinecone Milvus Chroma or similar).
Solid experience with AWS cloud infrastructure (ECS EC2 VPC Lambda).
Experience implementing Infrastructure as Code (Terraform CloudFormation or AWS CDK).
High level of autonomy strong communication skills and ability to document and explain architectural decisions.
Fluent English (written and spoken).

Desirable / Nice to Have

Experience building data engineering pipelines (Apache Airflow AWS Glue OCR solutions).
Familiarity with Snaplogic or similar enterprise integration platforms.
Exposure to semantic technologies or knowledge graphs (Neo4j RDF/SPARQL).
Experience with LLM evaluation and observability tools (Langfuse Arize MLflow).
Experience working in regulated or enterprise environments ideally within pharma or similar industries.

We are looking for a Senior Backend Engineer with a strong GenAI background to join our team and work 100% dedicated on a strategic project for one of our top clients in the pharmaceutical sector.In this role you will design and build advanced backend and AI-driven systems contributing to the evolut...

We are looking for a Senior Backend Engineer with a strong GenAI background to join our team and work 100% dedicated on a strategic project for one of our top clients in the pharmaceutical sector.

Main Responsibilities

Design and implement RAG architectures and agentic workflows to improve accuracy relevance and performance of AI-powered search and knowledge systems.
Develop high-quality modular and maintainable Python backend services with a strong focus on testing type hinting and clean architecture.
Build and operate document processing and data pipelines to transform unstructured data into AI-ready formats (e.g. using Airflow AWS Glue OCR tools).
Integrate backend services across complex enterprise systems including integrations via platforms such as Snaplogic.
Manage and optimize AWS cloud infrastructure (ECS EC2 VPC Lambda) ensuring scalability security and cost efficiency.
Own CI/CD pipelines and containerized workloads using Docker.
Provide technical leadership to external vendor teams validating deliverables guiding architecture decisions and internalizing platform knowledge.

Requirements

Bachelors or Masters degree in Computer Science Engineering or a related field.
5 years of experience in backend engineering with ownership of complex systems.
Advanced software engineering expertise with a strong focus on modularity testability and clean architecture.
Strong professional experience in Python (code quality testing type hinting).
Proven experience designing RAG architectures and agentic workflows.
Hands-on experience with LLM frameworks (e.g. LangChain LlamaIndex) and vector databases (Pinecone Milvus Chroma or similar).
Solid experience with AWS cloud infrastructure (ECS EC2 VPC Lambda).
Experience implementing Infrastructure as Code (Terraform CloudFormation or AWS CDK).
High level of autonomy strong communication skills and ability to document and explain architectural decisions.
Fluent English (written and spoken).

Desirable / Nice to Have

Experience building data engineering pipelines (Apache Airflow AWS Glue OCR solutions).
Familiarity with Snaplogic or similar enterprise integration platforms.
Exposure to semantic technologies or knowledge graphs (Neo4j RDF/SPARQL).
Experience with LLM evaluation and observability tools (Langfuse Arize MLflow).
Experience working in regulated or enterprise environments ideally within pharma or similar industries.