Full Stack AI Engineer
Summary
Build and deploy AI-powered applications using LLMs, agentic workflows, and cloud-native stacks (Vue.js, Node.js, AWS Lambda, Terraform).
As a Full Stack AI Engineer, you will work across AI engineering, cloud development and enterprise modernisation to build innovative software solutions.
Key Responsibilities
- Design, build and enhance AI-powered software delivery pipelines using LLMs, prompt engineering, agentic workflows and automated evaluation frameworks.
- Develop and deliver production-ready applications using Vue.js, TypeScript, Node.js, AWS Lambda, API Gateway, Db2 and Terraform.
- Validate AI-generated code through rigorous testing, automated validation, CI/CD pipelines and quality assurance practices.
- Improve the performance, reliability and scalability of AI engineering workflows by continuously refining prompts, agent skills and automation processes.
- Collaborate with architects, cloud engineers, cyber security specialists and legacy system experts to deliver large-scale enterprise modernisation initiatives.
Your Skills
- Proven experience developing AI-powered applications using Generative AI, LLMs, Prompt Engineering, RAG or Agentic AI in production environments.
- Hands-on experience building cloud-native applications using AWS services, including Lambda, API Gateway, S3, IAM and Infrastructure as Code (Terraform).
- Strong SQL, relational database design and CI/CD experience with a passion for building secure, scalable software.
- Excellent analytical and problem-solving skills with the ability to work across complex enterprise and legacy technology environments.