Full-Stack Developer (India) - React, Python, AWS,...

Insight Global
Oakland, United States of America
16 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Oakland, United States of America

Tech stack

JavaScript
A/B testing
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Software as a Service
Cloud Computing
Code Review
Relational Databases
DevOps
Electronic Publishing
Python
Machine Learning
Software Architecture
TensorFlow
TypeScript
Web Application Frameworks
Google Cloud Platform
PyTorch
React
Large Language Models
Backend
GIT
Information Technology
HuggingFace
Data Analytics
Machine Learning Operations
REST

Job description

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 DevOps for deployment and monitoring.

Requirements

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/TypeScript.

Strong Python skills with experience in AI/ML tools (e.g., TensorFlow, PyTorch, Hugging Face).

Experience with RESTful APIs, asynchronous workflows, and relational databases.

Solid understanding of software architecture, Git, and DevOps practices.

Strong collaboration skills and agile team experience. Experience with LLMs, vector databases, or ML model serving.

Familiarity with TypeScript and cloud platforms (AWS, GCP, Azure).

Understanding of MLOps and continuous model deployment.

Experience with SaaS analytics, A/B testing, or feature flagging tools.

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