Software Engineer (LLM/ Agentic AI)

ViewQwest; Malolos; On-site; PHP 450,000 - 750,000; Full time

Job summary

ViewQwest in the Philippines is seeking a Software Engineer to join our Information Systems team. You will build across front-end (React) and back-end (PHP/Laravel or similar) applications, owning features end-to-end and guiding junior teammates when needed.

You will apply AI/LLM tools in real engineering problems, integrate third-party APIs, and contribute to internal tooling and automation, working onsite in a collaborative, hands-on environment.

Qualifications

• 2-4 years of professional software development experience.
• Good understanding of REST APIs and experience integrating third-party systems.
• Practical experience using AI coding tools for coding, debugging, or documentation.
• Working understanding of how LLMs/AI APIs work and some experience integrating them into features.

Responsibilities

• Build and maintain features across front-end (React) and back-end (PHP/Laravel or similar) applications with minimal supervision
• Contribute to the design of internal tools, dashboards, and automation workflows
• Implement and maintain APIs and third-party integrations (billing systems, ticketing, messaging, identity verification, etc.)
• Write clean, testable, well-documented code and actively participate in code reviews
• Use AI coding assistants effectively as part of your daily workflow and share best practices with the team
• Build AI-powered features—e.g., calling LLM APIs for text processing, summarization, or automation—with some autonomy over implementation
• Debug and troubleshoot moderately complex issues across the stack, including with AI tools
• Provide guidance and code review feedback to junior engineers

Skills

REST APIs

AI coding tools

Git workflows

Independent work

Team collaboration

Problem solving

Communication skills

Tools

Cursor

ChatGPT

Claude

Copilot

Job description

We're looking for a Software Engineer to join our Information Systems team. You'll work across full-stack development, systems integration, and internal tooling, taking ownership of features end-to-end and contributing to technical decisions along the way. This role suits an engineer with a few years of hands-on experience who can work independently, occasionally guide junior teammates, and has practical experience applying AI/LLM tools to real engineering problems - from AI-assisted development workflows to building features that call AI APIs.

Responsibilities:

• Build and maintain features across front-end (React) and back-end (PHP/Laravel or similar) applications with minimal supervision
• Contribute to the design of internal tools, dashboards, and automation workflows
• Implement and maintain APIs and third-party integrations (billing systems, ticketing, messaging, identity verification, etc.)
• Write clean, testable, well-documented code and actively participate in code reviews
• Use AI coding assistants (e.g., Cursor, Claude, Copilot) effectively as part of your daily workflow, and help share best practices with the team
• Build AI-powered features - e.g., calling LLM APIs for text processing, summarization, or automation - with some autonomy over implementation approach
• Debug and troubleshoot moderately complex issues across the stack, including with the help of AI tools where appropriate
• Provide guidance and code review feedback to junior engineers

Requirements:

• 2-4 years of professional software development experience
• Good understanding of REST APIs and experience integrating third-party systems
• Practical experience using AI coding tools (Cursor, ChatGPT, Claude, Copilot, etc.) for coding, debugging, or documentation
• Working understanding of how LLMs/AI APIs work (prompts, tokens, basic tool use) and some experience integrating them into features
• Comfortable with Git and standard version control workflows, including branching and code review processes
• Good problem-solving skills and ability to work independently on well-scoped tasks
• Strong communication skills and ability to collaborate across product, QA, and other engineering teams

Nice to Have:

• Experience working in AI-assisted IDEs like Cursor for codebase navigation and refactoring
• Exposure to workflow automation tools (e.g., n8n, Zapier)
• Some experience mentoring or supporting junior engineers
• Experience shipping AI-powered features (OpenAI, Anthropic, or similar APIs) in a production environment

This is a fully onsite role with no work-from-home or hybrid work arrangement, ideal for candidates who enjoy a collaborative, dynamic, and hands-on work environment.