Generative AI Engineer

1 day ago

Makati City, National Capital Region, Philippines CloudMile Full time ₱1,200,000 - ₱3,600,000 per year

Location: Philippines

Experience: 3+ years

Employment Type: Full-time (Contract)

Team: Data & AI Team

About the Role

We are seeking a passionate and hands-on AI Engineer to join our growing Data & AI team. In this role, you will design, develop, and deploy next-generation LLM-powered chatbot, search, and automation solutions for enterprise use cases.

You will work with Google Cloud Vertex AI, Document AI, Dialogflow CX, LangChain, LangGraph, and vector databases to build intelligent conversational interfaces, RAG (Retrieval-Augmented Generation) systems, and AI-driven knowledge applications.

This is a highly technical and client-facing position — ideal for someone who enjoys solving real-world problems using cutting-edge AI tools, frameworks, and Google Cloud technologies.

Key Responsibilities

  • Design, develop, and optimize AI chatbots using LLMs (e.g., Gemini, LLaMA, Claude, 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 for AI-powered applications
  • Build interactive AI dashboards and demos using Streamlit for rapid prototyping and client presentations
  • Implement prompt engineering, model tuning, and evaluation for various business domains
  • Integrate and deploy solutions leveraging Google Cloud Vertex AI, Document AI, Dialogflow CX, BigQuery, and Cloud Functions
  • Fine-tune foundation models and implement domain-specific customizations where needed
  • Contribute to best practices, documentation, CI/CD pipelines, and code reviews
  • Collaborate closely with Data Engineers and Solution Architects to deliver scalable AI systems

Essential Skills & Experience

  • 3+ years of experience as an
    AI/ML Engineer
    or
    Software Engineer
    in AI-focused project
  • Strong understanding of
    LLMs, transformers
    , and
    conversational AI architectures
  • Proven experience with
    LangChain
    ,
    LangGraph
    , or similar LLM orchestration frameworks
  • Hands-on experience with
    FastAPI
    (or Flask) for backend service development
  • Experience with
    Streamlit
    for building interactive AI demos or internal tooling
  • Familiarity with
    Prompt Engineering
    ,
    RAG pipelines
    , and
    LLM evaluation methodologies
  • Proficient in
    vector search
    ,
    embeddings
    , and
    similarity-based retrieval
    (e.g., FAISS, Weaviate, Pinecone, Milvus)
  • Working knowledge of
    Dialogflow CX
    ,
    Vertex AI
    , and
    Document AI
  • Strong foundation in
    software engineering
    — Git, CI/CD, REST APIs, testing

Bonus Skills (Nice to Have)

  • Experience with data engineering tools (ETL, Airflow, dbt, BigQuery, or Snowflake)
  • Experience integrating external data sources, web crawlers, or knowledge bases
  • Familiarity with data lake/warehouse architecture and data pipeline design
  • Cloud infrastructure knowledge: GCP, AWS, or Azure
  • Experience fine-tuning open-source LLMs (LLaMA, Mistral, Falcon, etc.)
  • Understanding of LLM safety, reliability, and cost-performance optimization
  • Exposure to frontend frameworks (React, ) for chatbot UI integration

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