AI Application Full-Stack Developer

As an AI Application Full-Stack Developer, you will develop modern web applications integrated with AI agents and cloud-native services. You will work across the entire stack—from frontend UI to backend APIs and databases—while collaborating closely with product, cloud, and AI engineering teams. This is a hands-on engineering role focused on delivering high-quality AI-powered applications. Key Responsibilities Full-Stack Development

• Build responsive, high-quality frontend applications using React / Next.js /TypeScript.

• Develop backend APIs and services using Python (FastAPI/Flask).

• Implement authentication, authorization, data models, and API integrations.

• Work with relational and NoSQL databases.

AI Integration

• Integrate applications with AI models, vector databases, and agent frameworks.

• Implement workflows involving RAG, embeddings, conversational agents, or automation logic.

• Work with cloud AI services (Google Cloud, AWS, Azure, or Vertex/Bedrock).

System Implementation & Delivery

• Translate requirements into technical tasks and features.

• Ensure code is maintainable, well-structured, and well-tested.

• Collaborate with UI/UX, AI engineers, and cloud engineers to ship features efficiently.

• Participate in sprint discussions, reviews, and continuous improvement.

Performance, Quality & Security

• Apply best practices for security, scalability, performance, and reliability.

• Implement logging, monitoring, and API performance optimisations.

• Follow secure coding patterns and cloud-native development standards.

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related engineering field.

• 7+ years of professional full-stack development experience.

• Strong proficiency in: Javascript/TypeScript, React, and Next.js, Python (FastAPI or Flask) or any other backend programming language

• Solid understanding of: REST API design Modern application architecture Databases (PostgreSQL, MySQL, MongoDB, etc.) Experience integrating with cloud services (GCP, AWS, or Azure). Familiarity with consuming AI APIs or building AI-powered features. Strong problem-solving skills and ability to work independently.

Preferred Qualifications (Nice-to-Haves)

• Experience working with RAG pipelines, vector DBs, or generative AI applications.

• Familiarity with WebSockets, WebRTC, or real-time communication.

• Basic understanding of CI/CD pipelines and DevOps fundamentals.

• Experience with multi-tenant SaaS or enterprise-grade applications.