Artificial Intelligence Engineer
2 hours ago
Job Title:
AI Engineer
Location:
Philippines (Hybrid / Remote Option)
Employment Type:
Full-time (Contract)
Team:
Data & AI Team
About Our Client
Our client is a leading Asian
AI solutions provider
that integrates
Agentic AI, advanced analytics, and secure FinOps strategies
to help enterprises accelerate digital transformation. With operations across
Taipei, Singapore, Hong Kong, Malaysia, the Philippines, Indonesia, and Vietnam
, they empower over
1,200 global businesses
to leverage data-driven intelligence for growth and operational excellence.
About the Role
We are seeking a
hands-on AI Engineer
to design, develop, and deploy next-generation
LLM-powered chatbots, RAG (Retrieval-Augmented Generation) systems, and enterprise automation
solutions.
You'll work within the
Data & AI Team
, building intelligent conversational interfaces, semantic search systems, and knowledge applications using
Google Cloud Vertex AI, Dialogflow CX, Document AI, LangChain, LangGraph,
and
vector databases
.
This role combines
deep technical expertise
with
client-facing collaboration
, ideal for those passionate about building real-world AI applications on modern cloud ecosystems.
Key Responsibilities
- Design, develop, and optimize AI chatbots using LLMs (Gemini, Claude, LLaMA, etc.)
- Build semantic and enterprise search systems powered by
RAG pipelines and vector databases - Orchestrate LLM workflows using
LangChain
and
LangGraph - Develop backend services and APIs using
FastAPI - Build
interactive AI dashboards
and demos using
Streamlit
for internal and client presentations - Implement
prompt engineering
,
model tuning
, and evaluation for specific business domains - Integrate and deploy solutions leveraging
Vertex AI, Document AI, Dialogflow CX, BigQuery
, and
Cloud Functions - Collaborate with Data Engineers and Solution Architects to ensure scalability, reliability, and performance
- Contribute to best practices, CI/CD pipelines, and documentation
Essential Skills & Experience
- 3+ years of experience as
AI Engineer / ML Engineer / Software Engineer
on AI-focused projects - Strong understanding of
LLMs, transformers, and conversational AI architectures - Proven experience with
LangChain
or
LangGraph - Hands-on with
FastAPI
(or Flask) and
Streamlit - Experience with
Prompt Engineering, RAG
, and
LLM evaluation - Proficiency in
vector databases
(FAISS, Weaviate, Pinecone, Milvus) - Working knowledge of
Dialogflow CX, Vertex AI, Document AI - Solid foundation in
software engineering, Git, CI/CD, REST APIs, testing
Bonus Skills (Nice to Have)
- Data engineering tools (ETL, Airflow, dbt, BigQuery, Snowflake)
- Integrating
web crawlers
, external data sources, or
knowledge bases - Familiarity with
data lake/warehouse architecture - Cloud infrastructure:
GCP, AWS, or Azure - Fine-tuning open-source
LLMs (LLaMA, Mistral, Falcon) - Understanding
LLM safety, reliability, cost-performance optimization - Exposure to
frontend frameworks
(React, ) for chatbot UIs
Skills Summary
LLMs, LangChain, LangGraph, FastAPI, Streamlit, RAG pipelines, Prompt Engineering, Vertex AI, Document AI, Dialogflow CX, Vector Databases (FAISS/Weaviate/Pinecone), CI/CD, REST APIs, Git, BigQuery.
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