At Pienso, we're not just building another tech platform; we're creating a suite of tools that will revolutionize the way businesses leverage language AI.

Our mission is to provide tailored and robust Large Language Model (LLM) tools that seamlessly integrate advanced AI technology with the unique needs of each enterprise.

We're aiming to become the go-to tool for business analysts.

Our platform offers unmatched functionality, flexibility, and user experience, empowering enterprise users to easily extract insights from complex text data sets.

Why join Pienso?

At Pienso, you'll have the opportunity to:

• Work on cutting-edge technology that combines AI and business intelligence.

• Tackle meaningful and challenging projects with significant industry impact.

• Join a passionate team that values innovation, creativity, and personal growth.

• Influence the future of machine learning applications across diverse industries.

We are seeking a highly skilled Full Stack Prototype Engineer with a focus on visualization of large data sets to join our dynamic team.

In this role, you will be instrumental in developing innovative prototypes that integrate advanced large language models into diverse applications.

You will collaborate closely with cross-functional teams, including data scientists, UI/UX designers, and product managers, to turn groundbreaking ideas into functional, user-friendly solutions.

Key Responsibilities

• Design, implement , and maintain scalable full stack solutions integrating large language models and large volume data that can delight end-users.

• Work across the stack, implementing both frontend interfaces and backend APIs.

• Prototype and iterate on models and applications based on feedback from stakeholders and user testing.

• Ensure the scalability and performance of applications through effective architecture and caching strategies.

• Collaborate with UX/UI designers to ensure the technical feasibility of designs and enhance user experience.

• Stay up-to-date with emerging trends and advancements in machine learning, AI, and front-end.

• Participate in code reviews, contributing to the improvement of internal coding standards and practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Experience with large scale data visualization.

• Strong proficiency in JavaScript and Python, with hands-on experience using frameworks such as Angular, React, and Node.js.

• Experience with AI technologies, particularly large language models (GPT, BERT, etc.).

• Familiarity with RESTful API design and development.

• Database technologies, both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB).

• Experience with cloud services (AWS, Google Cloud, Azure) and serverless architectures.

• Strong problem-solving skills and the ability to work in a fast-paced, evolving environment.

• Experience with Docker, Kubernetes, or similar container technologies.

• Knowledge of machine learning frameworks (TensorFlow, PyTorch) and libraries.

• Prior experience in a startup environment.

• Contributions to open-source projects.