Full Stack Engineer (Gen AI)

Job Summary We are seeking a talented and versatile Full Stack Engineer to join our Gen AI team. In this role, you will be responsible for developing and maintaining both front-end and back-end components of our Gen AI applications, including RAG chatbots, agentic AI systems, and film classification platforms.

Your expertise in full stack development, cloud-based AI services, and quality assurance will be crucial in bringing cutting-edge AI technologies—including autonomous AI agents—to life through intuitive and efficient web applications.

Key Initiatives AI Assistant Platform Built on AWS Bedrock with multi-cloud integration (GCP and Azure) Supports Gemini and OpenAI models Frontend development using TypeScript and Next.

js Multi-cloud architecture requiring seamless integration across AWS, GCP, and Azure services Film Classification System Built on GCP's Agentic framework Utilises Gemini models with multi-agent architecture Backend development using Python Advanced agentic AI workflows for automated film content analysis Key Responsibilities Development Responsibilities: Full Stack Development: Design, develop, and maintain both front-end and back-end components of Gen AI applications, ensuring seamless integration between user interfaces and LLM-powered backends.

Cloud-Native Development: Architect and implement cloud-native solutions leveraging AWS, GCP, and Azure services, with particular focus on AI/ML services across these platforms.

LLM Integration: Implement APIs and services to integrate Large Language Models (including AWS Bedrock, Azure OpenAI, and GCP's Gemini) into web applications, focusing on efficient data flow and real-time processing of model outputs.

Agentic AI Development: Build and maintain autonomous AI agent systems capable of multi-step reasoning, planning, and decision-making. Implement agent orchestration frameworks that enable AI agents to use tools, access external APIs, and execute complex workflows. Agent Tool Integration: Develop and