Full Stack Engineer

As a Full Stack Engineer at Votal AI, you'll develop high-performance web applications using React, TypeScript, and PostgreSQL. Collaborate with AI engineers to integrate machine learning models and LLMs into a SaaS platform for advanced voice analytics.

San Francisco/ Remote

Full time

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Job description

As a Full Stack Engineer, you'll design and build high-performance, scalable web applications using React and TypeScript, integrate AI models, and work on an advanced SaaS platform for voice analytics.

Job responsibilities

Develop and maintain robust, scalable, and performant web applications using React and TypeScript
Design and implement RESTful APIs to support our front-end applications and integrate with our AI services
Create and optimize data models for PostgreSQL databases to efficiently store and retrieve voice analytics data
Collaborate with AI engineers to integrate machine learning models and LLMs into our web applications
Implement and maintain CI/CD pipelines using Vercel for seamless deployment and hosting
Contribute to the architectural design of our SaaS platform, ensuring scalability and maintainability
Write clean, efficient, and well-documented code adhering to best practices and coding standards
Participate in code reviews and provide constructive feedback to other team members
Troubleshoot, debug, and optimize application performance
Stay up-to-date with emerging trends and technologies in web development and AI integration

Job requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field
4+ years of experience in full-stack web development
Strong proficiency in JavaScript and TypeScript
Extensive experience with React and modern front-end development practices
Solid understanding of RESTful API design and implementation
Experience with PostgreSQL and designing efficient data models
Familiarity with Vercel or similar cloud deployment platforms
Knowledge of version control systems (e.g., Git) and collaborative development workflows
Experience with automated testing and continuous integration/deployment (CI/CD) practices
Excellent problem-solving skills and attention to detail
Strong communication skills and ability to work effectively in a team environment

Preferred Qualifications

Experience working with AI or machine learning technologies, particularly in NLP or voice analytics
Familiarity with Large Language Models (LLMs) and their integration into web applications
Experience with OpenAI API and Claude API
Knowledge of best practices for prompt engineering and LLM fine-tuning
Familiarity with GraphQL
Knowledge of Docker and containerization technologies
Experience with cloud platforms (AWS, Google Cloud, or Azure)
Understanding of data privacy and security best practices, especially related to voice data and AI models
Contributions to open-source projects or personal tech blog