Full Stack Developer - Frontend & Backend Technologies

Experience : 3-4 Years

Key Responsibilities :

• Understand business requirements and translate them into clean, scalable, secure, and maintainable technical solutions.

• Design, develop, test, review, and deploy end-to-end full-stack features across frontend, backend, and database layers.

• Build high-quality applications using modern Full Stack technologies such as React.js, Next.js, Angular, Node.js, Express.js, Python (FastAPI/Django), Java (Spring Boot) or similar frameworks.

• Develop and integrate RESTful APIs and/or GraphQL APIs, ensuring performance, security, and scalability.

• Work with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and implement efficient data models.

• Integrate Frontier AI Models (e.g., OpenAI GPT, Claude, Gemini, Llama, Mistral) into production applications to build AI-powered features and workflows.

• Experience with AI frameworks and tools such as LangChain, LangGraph, Vector Databases (Pinecone, Weaviate, Chroma), or RAG-based applications is a plus.

• Write clean, reusable, and well-tested code while leveraging AI as a productivity tool - not as a replacement for strong engineering fundamentals.

• Follow engineering best practices including Git, code reviews, pull requests, documentation, testing, CI/CD, and continuous improvement.

• Collaborate closely with Product Managers, Designers, QA Engineers, and other developers to deliver reliable, customer-focused solutions.

• Participate in architecture discussions, debugging, performance optimization, and production deployments.

• Experience working on AI-powered audio/video applications, speech-to-text, text-to-speech, video processing, WebRTC, or media platforms will be an added advantage.

Required Skills :

• 3-4 years of Full Stack Development experience.

• Strong proficiency in at least one frontend framework (React.js, Next.js, Angular, Vue.js) and one backend technology (Node.js, Python, Java, etc.).

• Experience with REST APIs, databases, Git, and cloud platforms such as AWS, GCP, or Azure.

• Hands-on experience integrating LLMs/Frontier AI Models into web applications.

• Strong understanding of software engineering principles, system design, debugging, and performance optimization.

• Excellent problem-solving, communication, and collaboration skills.