AI Engineer

Job Title: AI Engineer

Location: Manila Metro Manila Philippines

Job Type: Remote

About the Opportunity

Our client is expanding their Data & AI team and is seeking an experienced AI Engineer to design and build next-generation enterprise solutions. This role focuses on developing LLM-powered chatbots advanced search systems and automation tools.

This is a highly technical position that also involves client-facing elements. It is ideal for an engineer who enjoys solving real-world business problems by applying cutting-edge AI tools frameworks and the Google Cloud technology stack. You will play a key role in orchestrating workflows and building intelligent conversational interfaces.

Key Responsibilities

• LLM Application Development: Design develop and optimize advanced AI chatbots and applications using Large Language Models (LLMs) such as Gemini LLaMA and Claude.
• RAG & Search: Build semantic and enterprise search systems powered by RAG (Retrieval-Augmented Generation) pipelines and vector databases.
• Orchestration: Architect and orchestrate complex LLM workflows using LangChain and LangGraph.
• Backend Engineering: Develop robust backend services and REST APIs using FastAPI to support AI-powered applications.
• Prototyping: Build interactive AI dashboards and demonstration tools using Streamlit for rapid prototyping and client presentations.
• Model Optimization: Implement prompt engineering model tuning and evaluation strategies tailored to specific business domains. Fine-tune foundation models and implement domain-specific customizations.
• Cloud Integration: Integrate and deploy scalable solutions leveraging the Google Cloud ecosystem including Vertex AI Document AI Dialogflow CX BigQuery and Cloud Functions.
• Engineering Best Practices: Contribute to the engineering culture by maintaining high standards for documentation CI/CD pipelines and code reviews.
• Collaboration: Collaborate closely with Data Engineers and Solution Architects to deliver scalable production-ready AI systems.

Essential Skills & Experience

• Experience: 3 years of professional experience as an AI/ML Engineer or Software Engineer with a focus on AI projects.
• Core AI Knowledge: Strong understanding of LLMs transformers and conversational AI architectures.
• Orchestration Frameworks: Proven experience with LangChain or LangGraph.
• Development Stack: Hands-on experience with FastAPI (or Flask) for backend development and Streamlit for tooling/demos.
• Vector Search: Proficient in vector search embeddings and similarity-based retrieval tools (e.g. FAISS Weaviate Pinecone Milvus).
• GCP Stack: Working knowledge of Google Cloud Vertex AI Document AI and Dialogflow CX.
• Methodologies: Familiarity with Prompt Engineering RAG pipelines and LLM evaluation methodologies.
• Software Engineering: Strong foundation in Git CI/CD and testing protocols.

Preferred Skills (Nice-to-Have)

• Data Engineering: Experience with ETL tools Airflow dbt BigQuery or Snowflake.
• LLM Fine-Tuning: Experience fine-tuning open-source LLMs (e.g. LLaMA Mistral Falcon).
• Optimization: Understanding of LLM safety reliability and cost-performance optimization.
• Infrastructure: Familiarity with cloud infrastructure on GCP AWS or Azure.
• Frontend: Exposure to frontend frameworks like React or .

How to Apply

Interested candidates are invited to submit their resume detailing their experience with LLMs LangChain and Google Cloud AI services.