AI Product Builder

Collaborate with domain experts to develop business requirements and constraints for designing prompt AI-assisted workflows and system specifications.

Utilize AI tools, no-code/low-code, and coding to rapidly prototype UI/UX mockups and foundational implementations.

Test prototypes through hypothesis validation cycles and provide detailed handovers to engineering teams.

Decode legacy specifications and enhance existing products with AI-assisted analysis and implementation.

Constantly enhance the product team's building-tooling, templates, and practices to adapt to changes in models and platforms.

Proficient in end-to-end feature development for backend services and SPAs; ability to work across the stack for prototypes and v1 implementations.

Backend: strong hands-on skills in Java or ROR; expertise in RESTful APIs; understanding of microservices and backward compatibility where relevant; proficiency in performance, concurrency, and clean code structure.

Frontend: solid experience with modern frameworks such as React.js, Next.js, Vue.js, Nuxt.js, or Angular.js; strong skills in JavaScript, TypeScript, HTML, and CSS; familiarity with testing (e.g. Jest/Mocha) and quality (linting, reviews).

Data: strong SQL skills and query tuning; knowledge of ACID-aware design for transactional behavior in prototypes.

Delivery: Experience with CI/CD (e.g. GitHub Actions, CircleCI, or similar), Git workflows, code review practices; proficiency in AWS and Docker for deployable prototypes; exposure to Kubernetes is a plus.

Reliability and security in scope of the prototype: familiarity with authentication/authorization patterns, JWT/OAuth2 at a level appropriate to demos and handover notes; SLO/SLI thinking and observability hooks where the prototype will graduate.

Leadership of craft: contribution to architecture for domain verticals; mentorship experience; incident mindset (when things break, fix and document).

Substantial software engineering and/or product-minded UI/UX delivery; 8+ years in software development including both backend and frontend experience is the target bar for this principal-level scope.

Generative AI: Enthusiastic, daily use of generative AI and advanced AI tooling to streamline work and accelerate delivery, combined with deep practical understanding of LLMs and proven application in product or internal delivery (not toy prompts only).

Product mindset: Proven track record in translating high-level product requirements into detailed and comprehensive technical requirements through close partnership with Product Managers and domain stakeholders.

Communication: Strong verbal and written English for clarity and alignment in distributed, multinational product engineering teams.

Prototyping and product iteration using AI tools and no-code/low-code, grounded in user and operational workflow understanding.

Comfort with ambiguity: ability to ship "something that works first," then refine in tight loops (agile execution).

Track record as a central technical contributor on product initiatives that reached users and business outcomes.

Agile familiarity (Scrum/Kanban); strong problem-solving across technical and product uncertainty.

Proficiency in micro-frontends, state machines, advanced Golang or Java concurrency.

Experience with Kubernetes, Kafka/RabbitMQ, Prometheus/Grafana/ELK or similar.

Knowledge of DDD, Clean/Hexagonal architecture; experience in accounting, finance, or other domain-heavy B2B products.

Open-source or strong continuous learning profile.

Japanese language skills (not required) - a strong plus for collaboration with Japan-based teams, product, and stakeholders.

Employees have the flexibility to work two days in the office and three days from home

Work hours are flexible, with the option to start between 8AM-9AM from Monday to Friday

Full salary during the probation period

Eligibility for various insurance benefits, including social, health, and unemployment insurance, as well as private health and accident insurance

Additional perks such as a 13th-month salary, 16-24 paid days off, and paternity leave

Opportunities for annual company trips, quarterly team building activities, and participation in billiards and running clubs

Access to an annual health check and well-equipped facilities, including a MacBook Pro and additional monitor

Clearly defined career paths for employees

Sponsorship for foreign language and international technology-related certifications

Access to both internal and external training courses, soft-skill workshops, and tech seminars

Recognition awards and biannual performance and salary reviews (in June and December)

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666