Full Stack Engineer

4 days ago

Ahmedabad, Gujarat, India Rivulet Digital Full time

Job Type: Full Time

Job Location: Ahmedabad

We are seeking a Full Stack Engineer (AI-Integrated) with strong proficiency in modern frontend and backend frameworks, APIs, databases, and cloud infrastructure. The ideal candidate is hands-on with full-stack development, has exposure to AI-powered application development, and is passionate about building scalable, modern, and innovative digital solutions.

This role requires a forward-thinking engineer who can collaborate with cross-functional teams, deliver high-quality products, and integrate AI-driven features to enhance user experience and performance.

Key Responsibilities
  • Design, develop, and deploy scalable web applications using modern frontend and backend frameworks (Vue, React, Nuxt, Next, Laravel, , Python).
  • Architect, build, and integrate APIs with MongoDB, MariaDB, MySQL, or SQL-based databases.
  • Set up, manage, and optimize systems on AWS cloud (EC2, Lambda, S3, RDS, CloudWatch, etc.).
  • Integrate AI features and automations using OpenAI APIs, LangChain, Hugging Face, or custom AI model endpoints.
  • Collaborate with UI/UX, DevOps, Backend, and QA teams to deliver high-quality product releases.
  • Use AI-assisted development tools (GitHub Copilot, ChatGPT, Cursor AI, etc.) to accelerate development and innovation.
  • Participate in code reviews, mentor junior developers, and contribute to process and architecture improvements.
  • Stay updated with emerging technologies across AI, cloud, and full-stack ecosystems and recommend adoption where relevant.
Requirements
  • 4+ years of experience as a Full Stack Developer or Software Engineer.
  • Frontend experience with , , , or
  • Backend development experience with Laravel, , or Python (FastAPI/Django).
  • Strong understanding of databases: MongoDB, MariaDB, MySQL, or SQL Server.
  • Hands-on experience with AWS cloud services (EC2, Lambda, S3, RDS, API Gateway, CloudFront).
  • Knowledge of CICD, containerization (Docker), and deployment pipelines.
  • Experience in integrating AI models, APIs, or assistants into applications.
  • Strong analytical, problem-solving, and communication skills.
Nice to Have
  • Experience building SaaS platforms or scalable product architectures.
  • Familiarity with microservices, message queues, or API gateway patterns.
  • Exposure to AI model fine-tuning, training, or deployment workflows.
  • Contributions to open-source or AI-enhanced products/tools.
  • Experience working with US-based teams or agencies.

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