Design, build, and maintain scalable web applications using Ruby on Rails. Develop AI-integrated applications with expertise in machine learning models. Participate in architectural discussions and influence product/tech roadmaps.
Key Highlights
Technical Skills Required
Job Description
Company Description
HappyLocate, established in 2016, has revolutionized the employee relocation landscape across over 16,000 pin codes. Specializing in house shifting, pet relocation, office moves, and house search assistance, HappyLocate offers advanced technology and customized solutions for efficient management from planning to post-move support. Join our growing list of satisfied customers and experience our reliable services. Ready to simplify your employee relocations? Visit: HappyLocate
Role Description
We are looking for a Full Stack Engineer with strong Ruby on Rails expertise and hands-on experience in building AI-integrated applications. This role requires a blend of back-end and front-end development skills, combined with the ability to integrate and deploy machine learning/AI models into production systems.
Key Responsibilities
- Design, build, and maintain scalable web applications using Ruby on Rails.
- Develop APIs and services to support AI/ML model integration.
- Build intuitive, responsive, and modern UIs (React / Vue.js preferred).
- Ensure performance, scalability, and security across the stack.
- Optimize databases, caching layers, and background job processing.
- Participate in architectural discussions and influence product/tech roadmaps.
- Write clean, testable, and maintainable code with strong documentation.
- Participate in code reviews and provide constructive feedback.
- Contribute to architectural decisions and system design.
Required Skills & Qualifications
4–6 years of experience as a Full Stack Developer (or similar role).
Strong expertise in Ruby on Rails (RESTful APIs, ActiveRecord, Sidekiq/Resque).
Proficiency in front-end frameworks (React, Vue.js, or Next.js).
Solid understanding of PostgreSQL and database optimization.
Familiarity with AI/ML model integration (Python APIs, TensorFlow, PyTorch, or OpenAI APIs).
Experience with cloud platforms
Knowledge of CI/CD pipelines and modern DevOps practices.
Strong problem-solving skills and a passion for building AI-powered applications.
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