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

Location: Remote (with the option to work from our office in Helsinki, Finland; or get a coworking with other colleagues in San Francisco, USA; Fortaleza, Goiânia and Curitiba, Brazil; San Pedro Sula, Honduras, Tokyo, Japan)
Employment Type: Full-Time
Please Note: While we are hiring globally, we are unable to sponsor visas for candidates outside of Finland or Brazil at this time.

At Pandatron, we’re revolutionizing the way organizations unlock the potential of their people through AI-driven coaching solutions. Our platform leverages the latest LLM/ML technologies to deliver personalized, scalable coaching experiences and collects critical business data at scale. Our vision is to develop Leadership-as-a-Service, a software that will support leaders in managing their organizations, and unlock organizational performance and business transformation through personal growth of individuals. We work with Fortune 500s like Panasonic, Mitsubishi, Skanska, and some others we can’t name :)

We have a great team and culture. In total we are 23, executives are founders with exits, ex-Amazon, HR consulting business owners (30 years experience), top change consultants (EY, Accenture), certified coaches and VC Principals. Our investors include founders of unicorn companies like Oculus and Webflow. Currently, 35% of the tech team is female.

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.
• 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.

What We Offer

• Compensation & Equity: A competitive salary range reflecting your experience and seniority, plus the opportunity to earn meaningful equity in the company. We value the expertise you bring and are open to being generous with equity to align on long-term success.
• Work Flexibility: Enjoy the freedom of remote work, with the option to work from one of our offices in Helsinki, San Francisco, or Curitiba if desired.
• Career Advancement: Collaborate with a high-caliber team and gain exposure to cutting-edge technologies, including AI, machine learning, and real-time integrations. We’re committed to fostering your growth as a professional.
• Inclusive and Collaborative Culture: We focus on fostering an environment where people can do their best work and build meaningful connections. You might find yourself joining a karaoke night, enjoying a company retreat by the lake, or showcasing your pet in our annual company calendar—all while being part of a team that values collaboration, growth, and mutual support.
• Impactful Work: Contribute to a product that drives personal growth and business transformation for Fortune 500 companies and beyond.
• Flexibility and Autonomy: Flexible hours that support work-life balance while allowing you to excel in your role.

For more information or questions please contact us at dima.syrotkin@pandatron.ai

Working at Pandatron

At Pandatron, we’re revolutionizing the way organizations unlock the potential of their people through AI-driven coaching solutions. Our platform leverages the latest LLM/ML technologies to deliver personalized, scalable coaching experiences and collects critical business data at scale. Our vision is to develop Leadership-as-a-Service, a software that will support leaders in managing their organizations, and unlock organizational performance and business transformation through personal growth of individuals. We work with Fortune 500s like Panasonic, Mitsubishi, Skanska, and some others we can’t name :) We have a great team and culture. In total we are 23, executives are founders with exits, ex-Amazon, HR consulting business owners (30 years experience), top change consultants (EY, Accenture), certified coaches and VC principles. Currently, 35% of the tech team is female.