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Description:
The Full Stack Developer will be responsible for developing both front and back-end components of new web applications used by internal business users.
They will collaborate with cross-functional teams to understand and document business requirements for designing, developing, and deploying new applications and features.
The developer will write clean, efficient, and maintainable code following best practices and optimize applications for speed and scalability.
Troubleshooting and debugging issues across the entire stack, maintaining both front and back-end components of web applications.
Designing, developing, and deploying automated solutions using Generative AI, machine learning algorithms, and other technologies to support business operations.
Conducting analysis of existing processes to identify areas for improvement and automation, utilizing data-driven approaches to train and optimize machine learning models for automation tasks.
Providing technical expertise and support to troubleshoot issues and optimize automation workflows, documenting processes, workflows, and best practices for knowledge sharing.
Staying up to date with emerging technologies and industry trends related to software development, Generative AI, and machine learning.
Key projects include creating a front end to internal customer databases accessible to business users and improving existing product and client applications/admin tools.
Requirements:
Bachelor's degree in Computer Science, Engineering, or related field preferred.
Minimum 5 years of experience as a Full Stack Developer or similar role.
Strong programming skills in languages such as Python, Java, or C++ required.
Proficiency in front-end technologies like HTML5, CSS3, JavaScript (ES6+), and front-end frameworks/libraries React.
Strong understanding of back-end technologies such as Node.js, Python, Ruby on Rails, or similar.
Experience with databases (SQL and NoSQL) and ORM libraries, familiarity with RESTful APIs and microservices architecture.
Knowledge of version control systems (e.g., Git), competency in preparing and maintaining systems and program documentation.
Hands-on experience with Generative AI frameworks (e.g., GANs) and machine learning libraries (e.g., TensorFlow, PyTorch).
Solid understanding of automation technologies, including robotic process automation (RPA) and natural language processing (NLP).
Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes), understanding of Agile/Scrum methodologies.
Excellent problem-solving skills, attention to detail, strong communication and interpersonal skills.
Ability to collaborate effectively with diverse teams, thrive in a fast-paced environment, manage multiple projects simultaneously, work independently and as part of a team.
Benefits:
Medical, life, and dental insurance.
Asociacion Solidarista, International Share Save Plan.