Full Stack Engineer (Gen AI)

Job Description

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

As a Full Stack Engineer (Gen AI), you will initially support two key projects:

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 integrate tool-calling capabilities for AI agents, enabling them to interact with external systems, databases, and APIs to accomplish user-defined goals autonomously.
• User Interface Design: Create intuitive and responsive user interfaces for Gen AI applications, with a focus on enhancing user experience in chatbot interactions, agentic AI workflows, and film classification interfaces.
• Database Management: Design and maintain databases to store and retrieve data efficiently for Gen AI applications, including user interactions, model outputs, agent execution logs, and system state management.
• Performance Optimisation: Optimise application performance, focusing on reducing latency in LLM-powered features, agent execution times, and ensuring smooth user experiences even under high loads.
• Security Implementation: Implement robust security measures to protect sensitive data and ensure compliance with data protection regulations, particularly for AI-driven applications handling user inputs and autonomous agent actions.
• DevOps and Deployment: Participate in CI/CD pipeline setup and maintenance, ensuring smooth deployment of Gen AI applications across different cloud environments.
• Documentation: Maintain comprehensive documentation for codebases, APIs, agent workflows, and system architectures to facilitate knowledge sharing and future development.

Are you interested in this position?

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