Pragmatike

Company Name: Pragmatike
Job Title: Senior Frontend Developer (React) | Fully Remote
Job Description: **Job Title:** Senior Frontend Developer (React) **Role Summary:** Lead the design and development of high‑performance single‑page applications using React, Redux, and TypeScript. Own end‑to‑end front‑end delivery, from concept with Product Designers to production, ensuring reusable code libraries, rigorous testing, and optimal performance across browsers and devices. **Expectations:** - Minimum 5–6 years of senior front‑end development experience. - Mastery of modern JavaScript and React ecosystems. - Proven ability to create modular, testable component systems. - Strong communication with product, design, and client engineering stakeholders. - Commitment to code quality, performance optimization, and best‑practice advocacy. **Key Responsibilities:** 1. Collaborate with Product Designers to translate concepts into functional UI. 2. Build reusable component libraries and UI‑toolkits for internal reuse. 3. Write clean, maintainable, and well‑documented code following established standards. 4. Implement unit tests, end‑to‑end tests (e.g., Selenium), and CI/CD pipelines. 5. Optimize rendering performance, identify and eliminate bottlenecks. 6. Conduct design and code reviews, mentoring junior developers. 7. Stay current with front‑end trends (Micro‑Frontends, CSS‑in‑JS, etc.) and introduce improvements. **Required Skills:** - Deep proficiency in React, Redux, JavaScript/TypeScript. - Strong knowledge of HTML5, CSS3, responsive design, and cross‑browser compatibility. - Experience with Node.js tooling, build systems, and performance profiling. - Familiarity with testing frameworks (Jest, React Testing Library), UI test tools (Selenium). - Exposure to linting/formatting tools (ESLint, Prettier). - Understanding of Micro‑Frontend architecture is a plus. **Required Education & Certifications:** - Master of Science in Computer Science or a closely related technical field. - No specific professional certifications required but relevant coursework in web development is desirable.

Paris, France

Remote

Senior

06-11-2025

Company Name: Pragmatike
Job Title: Frontend Engineer (AI Product)
Job Description: **Job title** Frontend Engineer (AI Product) **Role Summary** Design, develop, and optimize scalable, high‑performance web applications that power AI‑driven systems for enterprise customers. Collaborate across product, design, and AI engineering to translate complex AI workflows into intuitive, responsive UIs, and shape the front‑end architecture of mission‑critical AI products. **Expectations** - Deliver production‑ready code that meets enterprise performance and accessibility standards. - Own features end‑to‑end, from concept through deployment and maintenance. - Maintain a deep understanding of AI product functionality to inform UI decisions. **Key Responsibilities** - Build and maintain React/TypeScript applications with responsive, accessible components. - Integrate front‑end with REST or GraphQL APIs and AI‑powered back‑end services. - Contribute to the evolution of the design system and enforce front‑end best practices. - Collaborate with AI/ML, backend, and product teams to shape user experiences. - Write and maintain automated tests (Jest, React Testing Library, Playwright/Cypress). - Participate in code reviews, CI/CD pipelines, and continuous improvement initiatives. **Required Skills** - Strong proficiency in **TypeScript** and **React** for production web applications. - Experience with **REST** or **GraphQL** API integration; familiarity with server‑side fundamentals (Node.js preferred). - Knowledge of front‑end testing frameworks (Jest, React Testing Library, Playwright/Cypress). - Excellent attention to detail, UX sensibility, and cross‑functional communication. - Ability to thrive in fast‑paced, ambiguous environments and take ownership of features from concept to release. **Bonus / Preferred Skills** - Dashboards, developer tools, or data‑heavy UI development. - Experience with design systems (MUI, Chakra UI, custom) or Figma workflows. - Exposure to cloud services, Docker, CI/CD, and DevOps practices. - Startup or rapid‑shipping experience. - Genuine interest in AI/ML products and user interaction with technical systems. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). - No mandatory certifications required.

New york, United states

On site

05-01-2026

Company Name: Pragmatike
Job Title: AI/ML Engineer (Entry Position)
Job Description: **Job title** AI/ML Engineer (Entry Position) **Role Summary** Develop, train, evaluate, and deploy machine learning models for production systems. Collaborate with senior engineers to design data pipelines, improve model performance, and integrate AI components into products for enterprise clients. **Expectations** - Early-career professional with 2+ years of experience in AI, ML, or data‑driven systems (industry, research, or internships). - Strong academic record with proven excellence (honors, scholarships, or impactful projects). - Ability to work independently and solve complex problems. - Desire to grow quickly in a fast‑growing AI startup. **Key Responsibilities** - Build, train, and evaluate ML models using structured and unstructured data. - Deploy models into production environments and maintain deployment pipelines. - Monitor model behavior, debug production issues, and iterate for performance gains. - Collaborate with backend and platform teams to integrate AI components into products. - Participate in model validation, experimentation, and performance analysis. - Write clean, maintainable Python code for ML workflows. **Required Skills** - Proficient in Python. - Hands‑on experience with ML libraries (PyTorch, TensorFlow, scikit‑learn). - Solid understanding of supervised/unsupervised learning, evaluation metrics, and model optimization. - Strong problem‑solving and independent working ability. - Bonus: experience with deep learning, large language models, or modern AI architectures; exposure to real‑world noisy datasets; familiarity with AWS, GCP, or Azure; knowledge of MLOps tools and monitoring; participation in AI competitions or research publications. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

Boston, United states

Hybrid

Junior

08-01-2026

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