AI-Augmented Full-Cycle Product Engineer

BillEase; Philippines; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

BillEase is seeking a versatile engineer who can own the full development cycle—from gathering requirements to production delivery—employing AI-assisted tooling to accelerate and improve output without compromising security or quality.

You will work directly with stakeholders and the CTO to shape technical solutions, design APIs, and implement backend, frontend, and mobile features using modern stacks and CI/CD practices.

Qualifications

• Hands-on experience with a range of AI tools in real development work.
• Experience with AI coding agents / assistants used to deliver production work.
• Experience with LLM APIs — prompt design, structured outputs, tool/function calling, and agentic workflows.
• AI-assisted testing, code review, documentation, and requirements/spec generation.
• Full-cycle software engineering: from requirement to production.
• Backend proficiency in Python or Golang, with PostgreSQL and SQL skills.
• Frontend capability with Vue/Nuxt or React.
• Ability to write clear specifications and communicate with technical and non-technical stakeholders.
• Understanding of microservices, REST/API design, event-driven patterns, Git-based workflows, and CI/CD.
• Security- and quality-conscious mindset; owning testing and operability.
• Self-directed, high-ownership, and able to deliver under real deadlines.

Responsibilities

• Engage stakeholders to elicit, clarify, and document business requirements.
• Turn ambiguous problems into clear, testable requirements using AI to accelerate research and gaps.
• Produce technical solutions and specifications: data models, API contracts (OpenAPI), service boundaries, diagrams.
• Make architecture decisions aligned with microservices, event-driven, and security-first principles.
• Implement backend services in Python and/or Golang on PostgreSQL with messaging (Kafka) and caching.
• Build web frontends (Vue/Nuxt or React) and mobile features (Android/iOS).
• Write reusable, testable code and use AI coding agents to move fast while keeping code quality.
• Design meaningful test coverage: unit, integration, API, end-to-end with AI-assisted testing.
• Own quality end-to-end: develop and test, ensuring verifiable delivery.
• Deliver through CI/CD and infrastructure as code; build observability into the design.

Skills

Python

Golang

PostgreSQL

SQL

Frontend: Vue/Nuxt or React

APIs design

Microservices

REST/API design

Event-driven

Git workflows

CI/CD

AI tooling

Security-conscious

Tools

OpenAPI

Kafka

Terraform

Job description

The Role

Our standard delivery model splits work across a business analyst, a system analyst and team lead, developers, and testers. We are looking for a rare engineer who can own that entire cycle end to end — gathering requirements, shaping the technical solution and specification, building it across backend, frontend, and mobile, and testing it properly — using modern AI tooling as the force multiplier that makes this possible.

This is not a "prompt engineer" role and it is not a traditional full-stack role. It is a full-cycle builder who has genuinely internalized AI-assisted development: someone who uses coding agents, LLM APIs, and AI-driven testing daily to compress what used to take a team into what one strong, AI-fluent engineer can deliver — without sacrificing quality, security, or maintainability.

You will work directly with the CTO and product stakeholders, take an idea from a vague business need to a shipped, observable, production-grade feature, and set the standard for what AI-native engineering looks like at Billease.

WHAT YOU'LL DO:

Discovery & requirements

• Engage business stakeholders directly to elicit, clarify, and document business requirements.
• Turn ambiguous problems into clear, testable requirements — using AI to accelerate research, drafting, and gap analysis.

Solution design & specification

• Produce technical solutions and specifications: data models, API contracts (OpenAPI), service boundaries, sequence and architecture diagrams.
• Make sound architecture decisions aligned with our microservices, event-driven, and security-first principles, and document the trade-offs.

Build (backend / frontend / mobile)

• Implement backend services in Python and/or Golang on PostgreSQL, with appropriate messaging (Kafka) and caching.
• Build web frontends (Vue/Nuxt or React) and, where needed, mobile features (Android/Kotlin, iOS/Swift).
• Write reusable, testable, efficient code, using AI coding agents to move fast while keeping the codebase clean and reviewable.

Test & quality

• Design and execute meaningful test coverage — unit, integration, API, and end-to-end — leveraging AI-assisted test generation and review.
• Own quality end to end: you are the developer and the tester, and "done" means verified.

Ship & operate

• Deliver through our CI/CD pipelines and infrastructure as code.
• Build observability in at design time (metrics, logs, tracing) and support what you ship.

MUST-HAVE QUALIFICATIONS:

Mandatory: demonstrable, hands-on experience with a range of AI tools in real development work. This is the non-negotiable core of the role — we will ask you to show concrete examples of what you have built and how AI changed your workflow and output.

Real, current experience with AI development tooling, such as:

• AI coding agents / assistants (e.g. Claude Code, Cursor, Copilot, or similar) used to deliver production work, not just experiments.
• Working directly with LLM APIs (e.g. Anthropic, OpenAI) — prompt design, structured outputs, tool/function calling, and agentic workflows.
• AI-assisted testing, code review, documentation, and requirements/spec generation.

Full-cycle software engineering experience — you have personally taken features from requirement to production, not only implemented tickets handed to you.

• Backend proficiency in Python and/or Golang, with solid PostgreSQL and SQL skills.
• Frontend capability with a modern framework (Vue/Nuxt or React).
• Ability to write clear specifications and communicate effectively with both technical and non-technical stakeholders.
• Understanding of microservices, REST/API design, event-driven patterns, Git-based workflows, and CI/CD.
• Security- and quality-conscious mindset; comfortable owning testing and operability of your own work.
• Self-directed, high-ownership, and able to deliver under real deadlines.

NICE-TO-HAVE

• Fintech / financial services experience — lending, payments, digital banking, or regulatory-aware development (a strong plus).
• High-load / high-scale systems experience — performance tuning, partitioning, caching strategies, and designing for reliability under load.
• Mobile development experience (Android/Kotlin, iOS/Swift).
• Cloud-native and DevOps exposure: AWS, Kubernetes, Terraform/Ansible, Kafka, and observability tooling (Prometheus, Grafana).
• Experience integrating AI features into products (chatbots, voice, document/image processing, RAG, or automation).

HOW WE WORK

• Stack: AWS, Kubernetes, Python & Golang, PostgreSQL, Kafka, Vue/Nuxt & React, Android/iOS, Terraform/Ansible, GitLab CI/CD.
• Principles: clear and maintainable architecture, security-first, scalability and reliability, high observability and automation, cloud-native and microservices-oriented design, and a strong focus on performance, resilience, and operational excellence.
• AI-native by default: we expect AI to be part of how you think, design, build, and test — used deliberately and responsibly.

WHAT SUCCESS LOOKS LIKE:

Within your first few months, you independently take a real business need through the full cycle — requirements, spec, implementation across the relevant layers, tests, and a production release with observability — at a speed and quality that would traditionally have required a small team, and you help the rest of engineering raise its AI fluency along the way.