Senior Full Stack Engineer, AI, GenAI, Python, React, AWS

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design, develop, and enhance comprehensive web applications throughout all phases of the software lifecycle.

• Build REST APIs, asynchronous services, processing pipelines, and integrations with internal and external systems.

• Create modern interfaces using React + Vite.

• Develop dashboards, search systems, filtering systems, and analytical tools for large volumes of data.

• Integrate capabilities such as RAG, intelligent agents, contextual analysis, classification, and other components of Generative AI.

• Design and implement pipelines for data ingestion, normalization, processing, and storage.

• Design data models and work with relational databases, document stores, search engines, and vector storage.

• Apply security by design, including authentication, authorization, access control, API protection, and secret management.

• Implement unit, integration, and end-to-end tests, as well as monitoring, logging, alerts, and traceability.

• Collaborate in the deployment and operation of applications on AWS.

• Utilize development tools assisted by Artificial Intelligence.

• Work together with teams in AI Engineering, Cloud, DevOps, Architecture, Cybersecurity, Data, and Product.

⛳️ Requirements

• At least 5 years of experience in developing complete web applications with end-to-end responsibility.

• Strong experience in backend development using Python.

• Experience in developing REST APIs, asynchronous services, integrations, and microservices architectures.

• Advanced knowledge of frontend development using React + Vite.

• Proficiency in JavaScript or TypeScript, HTML, and CSS.

• Experience in building interfaces for visualization, analysis, and exploitation of large volumes of information.

• Knowledge of SQL and NoSQL databases.

• Experience with search engines, indexing, and efficient query mechanisms.

• Experience using GitHub, automated testing, and CI/CD.

• Knowledge of Docker and application containerization.

• Experience in designing modular, maintainable, secure, and scalable applications.

• Knowledge of security applied to applications, APIs, identities, and secret management.

• Experience or knowledge in integrating LLM models, Generative AI APIs, and GenAI components.

• Ability to translate functional and security requirements into robust technical solutions.

• Valued knowledge in AWS, Lambda, ECS, API Gateway, S3, RDS, DynamoDB, OpenSearch, IAM, Secrets Manager, and CloudWatch.

• Valued knowledge in Terraform, serverless and event-driven architectures, Amazon Bedrock, vector storage, semantic search, streaming, real-time communication, Cursor, ServiceNow, Wiz, and agile methodologies.

🏝️ Benefits

• Permanent contract.

• 100% remote work.

• Internal training and access to certifications.

• Flexible compensation plan (health insurance, transportation, childcare vouchers, meal vouchers).

• Referral program with compensation for recommending candidates.

• Events, meetups, tech days, and talks.

• 26 days of rest (22 vacation days, 2 personal days, and December 24 and 31 as public holidays by default).

• Flexible working hours.

• Intensive summer schedule in July and August, from 8 AM to 3 PM.