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).

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