Freelancer - Full Stack Lead Engineer

We are seeking a Full Stack Engineer with 4+ years of experience in designing, developing, and deploying scalable applications. The role requires expertise across frontend, backend, mobile backend requirement gathering, AIdriven CI/CD pipelines, and prompt engineering with modern AI tools.

Key Responsibilities

• Application Development

• Build and maintain scalable web and mobile applications.

• Write clean, maintainable, and testable code.

• Mobile Backend Requirement Gathering

• Collect and analyze requirements for mobile backend services (authentication, push notifications, offline sync).

• Architect APIs optimized for mobile performance and reliability.

• Frontend Engineering

• Develop responsive UIs using React/Angular/Vue.

• Ensure accessibility and crossplatform compatibility.

• Backend Engineering

• Build RESTful/GraphQL APIs and microservices using Node.js/Java/Spring.

• Optimize database queries and schema design (SQL/NoSQL).

• Cloud & AIDriven CI/CD

• Deploy applications on AWS/Azure/GCP.

• Implement CI/CD pipelines with AIbased monitoring (predictive failure detection, automated rollback).

• Use containerization (Docker/Kubernetes) with intelligent scaling.

• Prompt Engineering with AI Tools

• Design and optimize prompts for AIpowered applications (e.g., chatbots, copilots, recommendation engines).

• Integrate AI APIs (OpenAI, Azure AI, Hugging Face) into backend workflows.

• Collaborate with product teams to leverage AI for automation, personalization, and analytics.

• Collaboration & Mentorship

• Work closely with product managers, designers, and QA teams.

• Mentor junior engineers and conduct code reviews.

Required Skills

• Frontend: React, Angular, or Vue; HTML5, CSS3, JavaScript/TypeScript.
• Backend: Node.js, Java/Spring Boot, Python/Django.
• Mobile Backend: Firebase, AWS Amplify, or custom APIs for mobile apps.
• Databases: MySQL, PostgreSQL, MongoDB.
• Cloud/DevOps: AWS, Azure, GCP, Docker, Kubernetes, Jenkins.
• AI in DevOps: GitHub Copilot, Harness, AIbased monitoring for CI/CD.
• Prompt Engineering: Crafting effective prompts, finetuning AI models, integrating LLM APIs.