Full-Time

/

Hybrid / Onsite - New York Metropolitan, San Francisco Bay Area

Fullstack Engineer

Fullstack Engineer

Full-Time

Engineering

$160,000 - $170,000

Who We Are

PraxisPro, a data intelligence company, is on a mission to heal the fractured state of Life Sciences commercial data by surfacing undocumented and previously inaccessible datasets to drive novel commercial intelligence and improve patient outcomes. PraxisPro has begun surfacing undocumented and previously inaccessible data with the industry’s first purpose-built Learning Experience Platform (LXP).

By serving as the commercial intelligence backbone across commercial, medical, and compliance functions, our industry-specific AI models for therapeutic areas and disease states form the foundation for a new standard of commercial intelligence, one that enables disciplined execution at scale while allowing Life Sciences organizations to focus on what matters most: advancing patient outcomes.

What You Will Do

As a Fullstack Engineer, you will develop responsive, secure, and scalable AI-driven web applications. You will work across the entire stack, from frontend UI components to backend APIs, ensuring seamless data flow, security, and performance.

The role requires hands-on experience in integrating cloud services, vendor APIs, and privacy-first architectures, along with a strong grasp of end-to-end software development lifecycle (SDLC).

Key Responsibilities

  • Develop and maintain fullstack AI-driven applications with a focus on scalability, security, and privacy.

  • Design, build, and optimize React-based frontend components to deliver highly interactive, responsive, and intuitive user experiences.

  • Develop RESTful APIs and backend services using Node.js and Python, ensuring efficient communication with AI models and databases.

  • Integrate complex cloud services and vendor APIs, including authentication, data storage, analytics, and messaging services.

  • Ensure compliance with security and privacy standards, implementing best practices

  • for authentication, data encryption, and access control.

  • Optimize web applications for performance, ensuring fast load times, smooth interactivity, and minimal resource consumption.

  • Implement cloud-based identity services, including OAuth, JWT, OpenID Connect, and SAML.

  • Work closely with AI/ML engineers, designers, and product managers to build seamless AI-powered experiences.

  • Develop and maintain CI/CD pipelines to streamline deployment and improve system reliability.

  • Stay updated on the latest web development trends, AI technologies, and security practices, ensuring the platform remains innovative and future-proof.

What You Bring

Required Experience

  • 3+ years of experience in fullstack development, specializing in JavaScript (React), Node.js, and Python.

  • Deep understanding of RESTful APIs, API design patterns, and microservices architecture.

  • Proficiency in building highly interactive, responsive, and accessible UIs using React, Redux, TypeScript, and modern frontend libraries.

  • Strong backend development skills, including Node.js, Python, Express.js/FastAPI, and SQL/NoSQL databases.

  • Experience with cloud platforms (AWS, GCP, or Azure) and cloud-based identity services (OAuth, JWT, SAML).

  • Understanding of privacy-centric architectures and security best practices for handling sensitive user data.

  • Familiarity with logging, monitoring, and observability frameworks for debugging and performance optimization.

  • Experience with CI/CD pipelines and modern DevOps workflows for fullstack applications.

  • Ability to think critically and independently in whitespace, making architectural and design decisions with minimal guidance.

Preferred Qualifications

  • Experience with GraphQL APIs and real-time communication (WebSockets, gRPC).

  • Familiarity with serverless architectures (AWS Lambda, Firebase Functions, Azure Functions).

  • Prior experience in AI/ML-powered applications and AI-driven UX design.

  • Contributions to open-source projects or technical publications in fullstack engineering.

Why Join PraxisPro

  • Work on cutting-edge AI-driven applications that impact professionals worldwide.

  • Flexible work environment – hybrid, or onsite.

  • Competitive salary, equity options, and benefits package.

  • Opportunity to own and shape the fullstack architecture of a fast-growing AI-driven platform.

  • Join a team of highly skilled engineers, AI researchers, and product leaders who are passionate about innovation.

Ready to lead, build, and grow with us?

Click "Apply Now" on this page, or email us at careers@praxispro.ai. We welcome candidates from all backgrounds and identities who share our passion for innovation and continuous learning.

PraxisPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Who We Are

PraxisPro, a data intelligence company, is on a mission to heal the fractured state of Life Sciences commercial data by surfacing undocumented and previously inaccessible datasets to drive novel commercial intelligence and improve patient outcomes. PraxisPro has begun surfacing undocumented and previously inaccessible data with the industry’s first purpose-built Learning Experience Platform (LXP).

By serving as the commercial intelligence backbone across commercial, medical, and compliance functions, our industry-specific AI models for therapeutic areas and disease states form the foundation for a new standard of commercial intelligence, one that enables disciplined execution at scale while allowing Life Sciences organizations to focus on what matters most: advancing patient outcomes.

What You Will Do

As a Fullstack Engineer, you will develop responsive, secure, and scalable AI-driven web applications. You will work across the entire stack, from frontend UI components to backend APIs, ensuring seamless data flow, security, and performance.

The role requires hands-on experience in integrating cloud services, vendor APIs, and privacy-first architectures, along with a strong grasp of end-to-end software development lifecycle (SDLC).

Key Responsibilities

  • Develop and maintain fullstack AI-driven applications with a focus on scalability, security, and privacy.

  • Design, build, and optimize React-based frontend components to deliver highly interactive, responsive, and intuitive user experiences.

  • Develop RESTful APIs and backend services using Node.js and Python, ensuring efficient communication with AI models and databases.

  • Integrate complex cloud services and vendor APIs, including authentication, data storage, analytics, and messaging services.

  • Ensure compliance with security and privacy standards, implementing best practices

  • for authentication, data encryption, and access control.

  • Optimize web applications for performance, ensuring fast load times, smooth interactivity, and minimal resource consumption.

  • Implement cloud-based identity services, including OAuth, JWT, OpenID Connect, and SAML.

  • Work closely with AI/ML engineers, designers, and product managers to build seamless AI-powered experiences.

  • Develop and maintain CI/CD pipelines to streamline deployment and improve system reliability.

  • Stay updated on the latest web development trends, AI technologies, and security practices, ensuring the platform remains innovative and future-proof.

What You Bring

Required Experience

  • 3+ years of experience in fullstack development, specializing in JavaScript (React), Node.js, and Python.

  • Deep understanding of RESTful APIs, API design patterns, and microservices architecture.

  • Proficiency in building highly interactive, responsive, and accessible UIs using React, Redux, TypeScript, and modern frontend libraries.

  • Strong backend development skills, including Node.js, Python, Express.js/FastAPI, and SQL/NoSQL databases.

  • Experience with cloud platforms (AWS, GCP, or Azure) and cloud-based identity services (OAuth, JWT, SAML).

  • Understanding of privacy-centric architectures and security best practices for handling sensitive user data.

  • Familiarity with logging, monitoring, and observability frameworks for debugging and performance optimization.

  • Experience with CI/CD pipelines and modern DevOps workflows for fullstack applications.

  • Ability to think critically and independently in whitespace, making architectural and design decisions with minimal guidance.

Preferred Qualifications

  • Experience with GraphQL APIs and real-time communication (WebSockets, gRPC).

  • Familiarity with serverless architectures (AWS Lambda, Firebase Functions, Azure Functions).

  • Prior experience in AI/ML-powered applications and AI-driven UX design.

  • Contributions to open-source projects or technical publications in fullstack engineering.

Why Join PraxisPro

  • Work on cutting-edge AI-driven applications that impact professionals worldwide.

  • Flexible work environment – hybrid, or onsite.

  • Competitive salary, equity options, and benefits package.

  • Opportunity to own and shape the fullstack architecture of a fast-growing AI-driven platform.

  • Join a team of highly skilled engineers, AI researchers, and product leaders who are passionate about innovation.

Ready to lead, build, and grow with us?

Click "Apply Now" on this page, or email us at careers@praxispro.ai. We welcome candidates from all backgrounds and identities who share our passion for innovation and continuous learning.

PraxisPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Unlock a New Level of Life Sciences Commercial Team Performance 

Copyright © 2026 Praxis Pro. All Rights Reserved.

Unlock a New Level of Life Sciences Commercial Team Performance 

Copyright © 2026 Praxis Pro. All Rights Reserved.

Unlock a New Level of Life Sciences Commercial Team Performance 

Copyright © 2026 Praxis Pro. All Rights Reserved.