Full Stack Engineer (AI-Integrated)

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, Node.js, 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.

Desired Skills

• 4+ years of experience as a Full Stack Developer or Software Engineer.
• Frontend experience with Vue.js, Nuxt.js, React.js, or Next.js.
• Backend development experience with Laravel, Node.js, 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.