AI Engineer

• Collaborate with cross-functional teams to deliver high-quality AI-driven applications
• Design scalable systems and justify technical decisions
• Implement event-driven architecture and asynchronous workflows
• Mentor team members on AI engineering best practices
• Drive technical leadership initiatives within the team

Senior Full Stack Engineer integrating AI and developing Next.js applications

Senior Full Stack Engineer – AI, Next.js

Senior Full Stack Engineer responsible for AI integration and Next.js development in remote role. Collaborating with teams to deliver scalable applications and drive AI best practices.

• Own internal tools end to end - from understanding the operational problem through design, implementation, deployment, and iteration.
• Build across the stack as the product requires: Python/Go services on Cloud Run, TypeScript web apps and internal admin tools, event-driven integrations on Pub/Sub, and cloud infrastructure on GCP.
• Integrate with third-party SaaS platforms and cloud APIs - handling REST, webhooks, OAuth, and event-driven patterns, including failures, retries, and schema drift.
• Build and maintain workflow automation and business process orchestration as named, observable flows rather than logic buried in vendor scripts.
• Use AI tooling effectively across the development lifecycle - spec, code, and review - directing Claude as a coding collaborator while owning the output.
• Review AI-generated code before it ships for correctness, security, and type safety.
• Operate what you ship: monitoring, reliability, cost, and failure modes in production.
• Contribute to shared engineering standards, playbooks, and internal tooling.

Applied AI Engineer building internal platforms at DoiT

Applied AI Engineer

Applied AI Engineer in DoiT's Business Systems Engineering division, creating internal platforms with Python, Go, and TypeScript. Focused on delivering scalable, efficient solutions and AI tooling integration.

• Design and build AI-enabled features for various education products, from assessments to tutoring.
• Work with education partners and internal stakeholders to understand assessment practices, quality expectations and real-world constraints.
• Build evaluation approaches that measure output quality, consistency, usefulness and failure modes.
• Develop retrieval, prompt-management, orchestration and structured-output workflows where appropriate.
• Integrate LLM APIs, AI services and education data into reliable product capabilities.
• Design practical human-review, control and escalation workflows for AI-supported decisions.
• Improve the reliability, latency, cost and quality of AI services in production.
• Build prototypes quickly, test them against real education use cases and productionise successful approaches.
• Develop suitable guardrails, monitoring and auditability for AI outputs.
• Work with Backend Engineers on service architecture, data handling, integrations and scalability.
• Work with Product Engineers to ensure AI features are understandable, useful and trustworthy for teachers and students.
• Use AI-assisted development tools appropriately while maintaining strong engineering judgement, testing, privacy and security standards.
• Write clean, tested and maintainable code.

AI Engineer developing AI capabilities for a global EdTech company

AI Engineer developing AI-enabled products for online education. Collaborating with stakeholders to turn AI capabilities into measurable features.

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Senior Full Stack Engineer – AI, Next.js

Applied AI Engineer

AI Engineer