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 Next.js .How to Apply
Interested candidates are invited to submit their resume, detailing their experience with LLMs , LangChain , and Google Cloud AI services.