Full-Stack Developer; India - React, Python, AWS, REST

Overview

Join our team to build intelligent legal solutions and modern digital publishing tools. We’re seeking a Full Stack Engineer with strong experience in React and Python, ideally with exposure to AI/ML-driven features. You’ll help shape scalable, data-driven SaaS products used by thousands of users.

• Develop user-facing features with React and modern frontend frameworks, focusing on CMS and digital publishing.
• Build robust backend services and APIs in Python, integrating AI/ML capabilities.
• Deliver end-to-end product features with clean, scalable code.
• Collaborate across product, design, and engineering teams.
• Integrate and optimize AI/ML models into core functionality.
• Write tests and participate in code reviews.
• Work with cloud infrastructure and Dev Ops for deployment and monitoring.
• Modernize legacy applications with current technologies.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 3+ years in full stack development, preferably in a SaaS environment.
• Advanced proficiency in React.js, JavaScript/Type Script.
• Strong Python skills with experience in AI/ML tools (e.g., Tensor Flow, PyTorch, Hugging Face).
• Experience with RESTful APIs, asynchronous workflows, and relational databases.
• Solid understanding of software architecture, Git, and Dev Ops practices.
• Strong collaboration skills and agile team experience. Experience with LLMs, vector databases, or ML model serving.
• Familiarity with Type Script and cloud platforms (AWS, GCP, Azure).
• Understanding of MLOps and continuous model deployment.
• Experience with SaaS analytics, A/B testing, or feature flagging tools.