Responsibilities

Project Delivery

Own end-to-end delivery of full-stack features and projects, from scoping and technical design to testing and deployment.
Translate product needs into clear API contracts, UI specs and deployment plans that other engineers can follow.
Maintain CI/CD pipelines and release processes to ensure reliable, repeatable deployments.

Backend & AI Systems

Design and implement backend services using PHP frameworks such as Laravel or Hyperf, with MySQL schemas and Redis caching where appropriate.
Integrate LLMs and AI components into applications, applying RAG, AI agents, API orchestration and workflow automation to real product use cases.
Validate, review and improve AI-generated code and model outputs to ensure correctness, security and maintainability.
Optimize service performance, monitoring and error handling for both API and AI workloads.

Collaboration & Quality

Work closely with product, design and QA to agree acceptance criteria and ship high-quality releases on a regular cadence.
Drive clear Git workflows and code reviews, documenting architectural decisions and runbooks for the team.
Share knowledge through demos and mentoring so others can learn from your AI and full-stack experience.

Requirements

Qualifications & Experience

At least 4 years of professional full-stack development experience with ownership of end-to-end projects.
You must have personally completed and owned full-stack projects and be able to explain each project in detail.
Be ready to present project objective, your responsibilities, frontend and backend technologies, database design, API architecture, deployment approach, challenges faced and final outcomes.
Candidates with production AI projects they built or substantially contributed to are preferred.

Hard Skills & Knowledge

Strong experience with PHP and frameworks such as Laravel or Hyperf for building backend services.
Proven knowledge of MySQL and Redis for storage and caching, plus RESTful API design and best practices.
Solid JavaScript, HTML5 and CSS3 skills and experience with modern frontend frameworks like React, Vue or Next.js.
Familiarity with Git/GitLab workflows, Linux, Nginx and Docker for development and production environments.
Strong practical AI experience is required, including LLM integration, AI Agents, RAG, AI APIs and workflow automation.
Experience with OpenAI, Claude, Gemini or similar LLM APIs is expected; familiarity with LangChain, LangGraph, AutoGen, OpenAI Agents SDK, CrewAI or MCP is an advantage.
Experience using tools such as Cursor, Claude, or GitHub Copilot is desirable, with the ability to review and improve AI-generated code.

Soft Skills & Qualities

You communicate clearly and can teach technical decisions to engineers and non-technical stakeholders.
You can demonstrate how AI was used in your projects and explain the technical implementation end to end.
You take ownership, write maintainable code and participate actively in code reviews and technical discussions.
You are practical, collaborative and willing to iterate based on user feedback and operational metrics.

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