Back End Developer

Description

This role sits within our platform team, working closely with our Chief Architect and Senior Engineers to design, build, and deploy production AI systems. You'll bring strong software engineering fundamentals and eagerness to learn AI, building systems that are reliable, observable, and scalable.

You'll join at a pivotal time, our AI capabilities are maturing from experimentation to production, and you'll help shape how we build and operate AI features at scale.

• Write clean, maintainable code with comprehensive tests as standard practice.
• Use AWS Cloud Development Kit to define infrastructure as code.
• Learn and grow in AI whilst working with experienced engineers and architects.
• Build and maintain AI-powered invoice extraction systems handling thousands of invoices daily.
• Design and implement serverless AI workflows using AWS Step Functions, Lambda, SQS, and SNS.
• Take ownership of features end-to-end, from design discussions to production monitoring.
• Work with the Chief Architect to design novel AI features from concept through to production.
• Collaborate with the AI QA Analyst to ensure extraction accuracy and system quality.
• Participate in code reviews, ensuring high standards across the team.
• Make a real impact building AI features that thousands of customers depend on daily.
• Write production-quality Python and TypeScript code with comprehensive automated testing.
• Use Claude Code and AI coding tools to accelerate development whilst maintaining quality.

Requirements

Tapi is an AI-native SaaS platform reimagining how property maintenance is done. We bring property managers, tenants, and trades into one seamless experience, using AI to reduce admin, speed up workflows, and create better outcomes for everyone.

• Strong software engineering fundamentals with Python as your primary language.
• Strong interest in AI and willingness to learn rapidly in a fast-moving field.
• Work with event-driven architectures, processing asynchronous workflows reliably.
• Communicate clearly about technical trade-offs, progress, and blockers.
• Comfortable with SQL and PostgreSQL for data querying and schema design.
• Understanding of serverless and event-driven architecture patterns.
• Experience with event streaming platforms like Kafka (desirable but not required).
• Experience with TypeScript (or JavaScript) in production systems.
• Prior AI/ML experience (not required, we'll support your learning).
• Balance pragmatism with quality, knowing when to iterate quickly and when to build for scale.
• Experience with metrics and observability tools (CloudWatch, Datadog, or similar).
• AWS Cloud Development Kit experience (desirable but not required).
• Comfortable using AI coding tools like Claude Code to accelerate your work.
• Instrument systems with metrics and observability to understand performance and reliability.
• Commitment to automated testing, you write tests as you code, not as an afterthought.
• Hands-on experience with AWS: Lambda, Step Functions, SQS, SNS, S3.

Benefits

• Work with a talented, supportive team that moves fast and values ownership.
• AI Knowledge Growth - Demonstrable upskilling in AI/ML technologies and best practices
• Hybrid flexibility with autonomy to do your best work.

Training + Development

Interview process

Visa Sponsorship

Security clearance