TL;DR

Fullstack Engineer (AI): Building and optimizing recommendation algorithms using machine learning techniques and LLMs to deliver personalized coaching content and insights with an accent on scalability and integration with recommendation systems. Focus on continuous improvement of platform scalability and performance by auditing and enhancing recommendation system accuracy and responsiveness.

Company

%hirify_global% is a leader in AI-driven coaching that powers change management through personalized, scalable coaching experiences and critical business data collection.

What you will do

Build, optimize, and maintain recommendation algorithms using machine learning techniques and LLMs to deliver personalized coaching content and insights.
Develop and maintain web and mobile applications using Next.js, React, and Node.js, ensuring responsive, secure, and performant features.
Design and implement RESTful APIs and backend services using Node.js and Python, focusing on scalability and integration with recommendation systems.
Collaborate with the ML team to integrate and deploy recommendation models into production, ensuring data security and compliance.
Work with compliance teams to implement and audit features to meet SOC 2, ISO 27001, and ISO 27018 standards, ensuring secure data handling in recommendation systems.
Partner with product, design, and ML teams to translate requirements into user-centric, compliant solutions.

Requirements

3+ years of full-stack development experience, with hands-on work in recommendation systems or machine learning-driven applications.
Proficiency in Next.js and React for building responsive, secure, and performant user interfaces.
Strong knowledge of Node.js for scalable APIs and microservices, with experience in Python for data handling and ML integration.
Familiarity with building or integrating recommendation algorithms, ideally using LLMs or NLP techniques.
Basic understanding of SOC 2, ISO 27001, and ISO 27018 standards, with experience in secure coding practices and data protection.
Experience with Slack and Microsoft Teams integrations, including bot development and webhooks.

Culture & Benefits

Enjoy flexible work arrangements.
Opportunity to work with cutting-edge AI technology.
Be part of a collaborative, diverse team environment.
Potential meaningful equity opportunity.
Make an impactful work with Fortune 500 clients.