Full Stack Engineer – AI-Focused
Salary: ₱100,000 per month
About the role
We are looking for a skilled Full Stack Engineer with hands-on AI engineering experience to design, develop, deploy, and maintain scalable applications. The ideal candidate has strong programming fundamentals, experience building production-ready full stack applications, and practical knowledge of AI-assisted development and LLM-powered solutions.
The successful candidate should be comfortable owning features end-to-end, making technical decisions, and delivering high-quality solutions in an Agile environment
Key responsibilities
Design, develop, and maintain scalable full stack applications using Java, Python, and modern JavaScript frameworks.
Build and optimize frontend applications using React, including routing, state management, and performance optimization.
Develop REST and/or GraphQL APIs and integrate backend services.
Design efficient database schemas and optimize SQL queries, indexing, and data models.
Deploy and maintain production workloads using cloud platforms such as Azure or Google Cloud Platform (GCP).
Implement scalable architectures using caching, load balancing, messaging, and event-driven systems.
Build and maintain CI/CD pipelines and containerized applications using Docker and Kubernetes or similar technologies.
Apply unit, integration, and contract testing to ensure application quality and reliability.
Leverage AI development tools to improve engineering productivity, including Claude Code and its Skills, Agents, Hooks, and MCP capabilities.
Develop and integrate AI-driven features using RAG architectures, LLM application frameworks, and agentic AI workflows.
Collaborate with cross-functional teams, communicate technical trade-offs, and independently deliver features across sprints and releases.
Mandatory Qualifications
Proven experience developing and delivering full stack applications in a professional software development environment.
Strong programming skills in Java, Python, and SQL fundamentals.
Hands-on experience with Claude Code, including Skills, Agents, Hooks, MCP, and Context Engineering.
Experience with modern frontend frameworks such as React.
Familiarity with cloud platforms, preferably Azure or GCP.
Knowledge of REST/GraphQL APIs, database optimization, Git, testing, and software deployment practices.
Practical exposure to Retrieval-Augmented Generation (RAG) and at least one LLM application framework, such as LangChain, LangGraph, Google GenAI tools, or similar.
Exposure to agentic or multi-agent AI systems, including tool use, memory, and workflow orchestration.
Strong problem-solving, communication, and independent delivery skills.
Willingness to work onsite in BGC, Taguig City, under a 3-month contract and a shifting schedule as needed.
Preferred Qualifications
Experience with Docker, Kubernetes, Kafka, CI/CD pipelines, and Infrastructure as Code.
Knowledge of scalable system architecture, performance tuning, concurrency, and fault-tolerant systems.
Understanding of application security, authentication protocols, and secure coding practices.
Experience mentoring developers or leading a small engineering team.