This project is looking to build high-impact AI apps + systems for medium-to-large businesses. Our solution will combine practical product thinking with strong engineering execution across AI agents and workflow automation.
Role Mission
Design and deliver production-grade full-stack applications powered by modern AI tooling, with strong ownership from architecture and coding through deployment, monitoring, and iteration.
Core Responsibilities
· Build and ship end-to-end products: frontend, backend, data, and cloud deployment.
· Use Vibe Coding workflow effectively: AI-assisted coding with strong engineering judgment.
· Translate business requirements into robust technical solutions and clean user experiences.
· Create reliable APIs and integrations with external platforms (CRM, messaging, automation, and finance tools).
· Own quality: tests, error handling, observability, and production stability.
· Collaborate with product and growth teams to prioritize features with clear business ROI.
Must-Have Technical Skills
· Strong full-stack engineering skills with proven production experience.
· Frontend excellence (React/Next.js or equivalent modern frameworks).
· Backend excellence (Python and/or TypeScript/Node.js), API design, and service architecture.
· Solid database skills (PostgreSQL and practical data modeling).
· Comfort with cloud infrastructure, CI/CD, and secure deployment practices.
· Ability to implement AI features pragmatically (LLM APIs, retrieval, prompt/system design).
Preferred Experience (Strong Advantage)
· Experience with GCP/Kubernetes, workflow systems, and production AI agents.
· Experience in automation-heavy products (WhatsApp, voice, CRM, or operations tooling).
· Experience in compliance-sensitive or high-reliability environments.
Mindset and Personal Qualities
· High ownership and initiative (proactive mentality): identifies problems and solves them proactively.
· Excellent English communication (written and spoken) with clear technical reasoning.
· Strong product sense: chooses simple, scalable solutions over unnecessary complexity.
· Fast learner with discipline, consistency, and attention to detail.
· Team player who can work independently in a remote environment.
What Success Looks Like (First 90 Days)
· First 30 days: own onboarding, understand architecture, and ship meaningful code to production.
· First 60 days: lead at least one complete feature from spec to release with measurable impact.
· First 90 days: improve speed, quality, and reliability across one major product workflow.
Selection Process
· Step 1: CV + portfolio/GitHub review.
· Step 2: technical screening interview in English.
· Step 3: practical build assignment (full-stack + AI-assisted implementation).
· Step 4: final interview (ownership, communication, and execution quality).
