Desarrollador Full Stack
Full Stack Developer
About Ti-Medi
Ti-Medi is a multinational e-Health company dedicated to the manufacture and distribution of technological solutions to make the management of medication easier, safer, and more efficient through cutting-edge software and hardware technologies.
Currently, we have a Microservice Cloud-based SaaS using React, Python, Java, MongoDB, and cloud infrastructure provided by OVH and Vercel. As the project evolves rapidly, we are looking forward to welcoming a skilled Full Stack Developer to our awesome team exciting project.
About the Role
We are looking for a Full Stack developer with genuine experience in developing and integrating AI into products.
Responsibilities
Develop and maintain high-quality, scalable, and efficient code for both frontend and backend.
Contribute to the development of our Microservice Cloud-based software using React, Python, Java, and MongoDB.
Collaborate with cross-functional teams to define, design, and ship new features.
Contribute to the development of new AI-related features in our SaaS solutions.
Ensure the performance, quality, and responsiveness of applications.
Identify and correct bottlenecks and fix bugs.
Help maintain code quality, organization, and automation.
Skills, Experience, and Qualifications
Frontend:
5+ years experience as a Front-End Developer with relevant experience using React.
Mastery of HTML/CSS/modern JavaScript.
Expertise in responsive development, frontend performance, and state management.
Experience with task runners (Webpack/Vite) and testing frameworks (Jest).
Proficiency in TypeScript and applying best practices in version control software (Bitbucket).
Backend:
5+ years experience as a Back-End Developer.
Proficiency in Java or Python (both is a plus).
Experience with web frameworks (Spring Boot, Django, FastAPI).
Knowledge of testing frameworks (Mockito, Pytest).
Understanding of high-level architecture such as hexagonal architecture or MVC.
Experience with relational and non-relational databases (PostgreSQL, MongoDB).
IA:
Integration of LLM APIs (Gemini, OpenAI, Anthropic) into real-world backend services.
RAG implemented and in production: chunking, embeddings, vector database and retrieval.
Managing context windows in real-world scenarios.
A clear distinction between prompt engineering, RAG and fine-tuning.
Observability of LLMs in production using LangSmith, Langfuse or similar tools.
Experience in evaluating and measuring the quality of AI systems.
Familiarity with AI orchestration frameworks ( LangChain, LlamaIndex or similar), applied to data automation workflows and not just to chatbots or conversational interfaces.
Proven experience in training and deploying ML models in production (not just for experimentation), with end-to-end pipelines from data ingestion to serving.
Practical application of time series models for demand forecasting, or temporal transformer models.
Proficiency in MLOps tools: designing pipelines using MLflow, Airflow or similar model versioning monitoring drift in production.
General:
Languages: Spanish is required. English level (B2)
Our Tech Stack
Vercel
FastAPI
Spring Boot
React, NextJS, and TypeScript
MongoDB, PostgreSQL
Hexagonal architecture (Frontend and Backend)
Scrum
SOLID principles
Microservices
SonarCloud
Atlassian (Jira, Bitbucket, Confluence)
CI/CD with Bitbucket Pipelines
What We Offer
Flexible schedule for improving family conciliation: Monday - Thursday 8:00-9:30 to 17-18:30h and Friday 8:00-15:00h.
Telework: 4 days/week.
Budget for training to support continuous learning.
Team building activities.
Salary: 35-42K .
Permanent contract.
Location: Caldes de Montbuí
It is a brilliant opportunity to improve your professional career, in an excellent working environment. www.ti-medi.com
React,Python,Java,Microservices
