In this role you will contribute to building data-driven applications, cloud platforms and AI-enabled tools within a collaborative engineering team. You will work across the full stack, from backend services to user interfaces, and integrate with data pipelines and external services. The role offers exposure to a broad tech stack and practical AI integrations, with opportunities to design scalable, reliable production platforms and drive impact across teams.
Responsibilities
Design, develop and maintain full-stack applications including backend services, APIs and user interfaces
Build production software using Python, TypeScript and modern web technologies
Develop cloud-based apps and services on AWS and other platforms
Integrate applications with data pipelines and enterprise/external systems
Create AI-powered features including LLM integrations and AI agent tooling
Contribute to architectural decisions and evaluate tech options
Develop proofs-of-concept to test new tech
Troubleshoot production issues and optimize performance
Design efficient data processing and integration patterns for large datasets
Implement authentication and authorization for secure enterprise apps
Support infrastructure deployment, IaC and CI/CD pipelines
Collaborate with cross-functional stakeholders to define requirements
Help scale applications into robust platforms for wider adoption
Participate in evolving AI-enabled software projects
Key requirements
Strong Python development experience with production-grade apps
Hands-on AWS experience (Lambda, ECS/Fargate, S3, API Gateway)
Experience deploying and managing Docker-based containerised apps
Solid SQL skills and familiarity with data warehouses
Hands-on IaC experience, especially Terraform
Proficiency with Git and modern CI/CD workflows
Experience in designing multi-component software systems
Interest in AI-assisted development tools and AI-enabled features
Strong problem-solving and cross-functional collaboration abilities
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