Mid-level Full-Stack Engineer with a focus on recommendation systems

Mid-level Full-Stack Engineer with a focus on recommendation systems

Job Overview

We are seeking a mid-level Full-Stack Engineer with a focus on recommendation systems to
join our team. You will play a key role in designing, developing, and optimizing recommendation
algorithms and end-to-end features for our AI-driven coaching platform. Working closely with
engineering, product, and machine learning teams, you’ll help deliver personalized, scalable,
and secure user experiences. This role requires expertise in Node.js, Next.js, React, Python,
and familiarity with recommendation systems, LLMs, and security compliance (SOC 2, ISO
27001, ISO 27018).
Key Responsibilities
Recommendation Systems Development: Build, optimize, and maintain recommendation
algorithms using machine learning techniques and LLMs to deliver personalized coaching
content and insights.
Full-Stack Development: Develop and maintain web and mobile applications using Next.js,
React, and Node.js, ensuring responsive, secure, and performant features.
Backend & API Development: Design and implement RESTful APIs and backend services
using Node.js and Python, focusing on scalability and integration with recommendation
systems.
Machine Learning Integration: Collaborate with the ML team to integrate and deploy
recommendation models into production, ensuring data security and compliance.
Slack and Microsoft Teams Integration: Develop and maintain integrations with Slack and
Microsoft Teams, including custom bots and workflows to support personalized
recommendations.
Security 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.
Collaboration: Partner with product, design, and ML teams to translate requirements into
user-centric, compliant solutions.
Continuous Improvement: Contribute to platform scalability and performance by auditing and
enhancing recommendation system accuracy and responsiveness.
Qualifications
Experience: 3+ years of full-stack development experience, with hands-on work in
recommendation systems or machine learning-driven applications.
Tech Stack Expertise:
Frontend: Proficiency in Next.js and React for building responsive, secure, and performant user
interfaces.
Backend: Strong knowledge of Node.js for scalable APIs and microservices, with experience in
Python for data handling and ML integration.
Recommendation Systems: Familiarity with building or integrating recommendation
algorithms, ideally using LLMs or NLP techniques.
Compliance Knowledge: Basic understanding of SOC 2, ISO 27001, and ISO 27018
standards, with experience in secure coding practices and data protection.
Integration Experience: Experience with Slack and Microsoft Teams integrations, including bot
development and webhooks.
DevOps and Cloud: Familiarity with CI/CD pipelines, Docker, and cloud platforms (AWS
preferred), with an understanding of cloud security best practices.
Agile Development: Experience with agile methodologies and tools like Git and Jira in
collaborative environments.
Key Skills
Recommendation Systems Focus: Ability to build and optimize recommendation algorithms
with a focus on user personalization and data-driven insights.
Security-First Mindset: Understanding of secure coding practices and compliance
requirements for data protection.
Problem Solving: Strong analytical skills to address challenges in recommendation system
performance and scalability.
Effective Communication: Ability to collaborate with cross-functional teams and explain
technical concepts to non-technical stakeholders.
User-Centric Approach: Commitment to building secure, personalized, and user-friendly
experiences.

Qualifications
Experience: 3+ years of full-stack development experience, with hands-on work in
recommendation systems or machine learning-driven applications.
Tech Stack Expertise:
Frontend: Proficiency in Next.js and React for building responsive, secure, and performant user
interfaces.
Backend: Strong knowledge of Node.js for scalable APIs and microservices, with experience in
Python for data handling and ML integration.
Recommendation Systems: Familiarity with building or integrating recommendation
algorithms, ideally using LLMs or NLP techniques.
Compliance Knowledge: Basic understanding of SOC 2, ISO 27001, and ISO 27018
standards, with experience in secure coding practices and data protection.
Integration Experience: Experience with Slack and Microsoft Teams integrations, including bot
development and webhooks.
DevOps and Cloud: Familiarity with CI/CD pipelines, Docker, and cloud platforms (AWS
preferred), with an understanding of cloud security best practices.
Agile Development: Experience with agile methodologies and tools like Git and Jira in
collaborative environments

Software Engineering