Programador full stack
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Summary
Full stack engineer on the internal IT team of a transportation company, building production apps with a Python microservices backend and Next.js frontend. Day to day: designing APIs, integrating AI-based tools, and developing/deploying ML models alongside a data scientist.
We are seeking a Full Stack Software Engineer to join our IT team and work closely with our Data Scientist to transform analytical models, machine learning solutions, and business requirements into production-ready applications. You will be responsible for designing and building scalable, microservices-based systems with a Python backend and Next. js frontend that power our internal tools and operational platforms.
Responsibilities
- Design, develop, and maintain front-end and back-end applications.
- Build and integrate APIs and third-party services, including AI-based tools.
- Develop, train, and deploy AI/ML models to support business needs (e.g., predictive analytics, natural language processing, automation).
- Collaborate with UI/UX designers to create intuitive, user-friendly applications.
- Optimize performance, scalability, and responsiveness across applications.
- Ensure data security, compliance, and ethical use of AI technologies.
- Write clean, testable, and well-documented code.
- Collaborate with cross-functional teams (product, design, data science, operations).
- Stay current with advancements in AI, full stack frameworks, and industry best practices.
Requirements
- Bachelor’s degree in Computer Science, Engineering, AI, or related field (or equivalent experience).
- Proven experience as a Full Stack Developer, with exposure to AI/ML projects.
- Strong proficiency in:
- Front-End: HTML, CSS, JavaScript, React/Angular/Vue.js.
- Back-End: Node.js, Python, Java, or similar.
- Databases: MySQL, PostgreSQL, MongoDB, or others.
- Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
- Experience with NLP, computer vision, or predictive analytics is a plus.
- Familiarity with RESTful APIs, GraphQL, and AI model deployment in production.
- Experience with cloud platforms (AWS, Azure, GCP) and AI services (AWS Sagemaker, Azure ML, Vertex AI).
- Knowledge of containerization (Docker/Kubernetes) and CI/CD pipelines.
- Strong analytical thinking and problem-solving skills.
Skills
- AI
- Analytics
- Angular
- API
- Automation
- AWS
- Azure
- CI/CD
- Cloud
- Computer Vision
- Containerization
- CSS
- Data Science
- Docker
- GCP
- GraphQL
- HTML
- Java
- JavaScript
- Kubernetes
- Machine Learning
- Microservices
- Model Deployment
- MongoDB
- MySQL
- NLP
- Node.js
- PostgreSQL
- Predictive Analytics
- Python
- PyTorch
- React
- REST
- SageMaker
- scikit-learn
- TensorFlow
- Vertex AI
- Vue