AI Engineer

1 week ago

Manila, Philippines Cloud Mile Corp. Full time

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 cutting-edge LLM-powered chatbot and search solutions for enterprise use cases. You will work on projects involving Google Cloud Dialogflow CX, Retrieval-Augmented Generation (RAG), LangChain, LangGraph, and vector databases, delivering high-impact applications that enable intelligent conversational interfaces and smart search experiences. This is a highly technical and client-facing role, ideal for someone who enjoys solving real-world problems using state-of-the-art AI tools and frameworks. Key Responsibilities Design, develop, and optimize AI chatbots using LLMs (e.g., Gemini, LLaMA, Claude, etc.) Build semantic and enterprise search systems with RAG pipelines Integrate LLM orchestration frameworks such as LangChain and LangGraph Work with vector databases (e.g., FAISS, Weaviate, Pinecone, Milvus) for efficient retrieval Develop and deploy APIs using FastAPI or other Python-based backend frameworks Implement prompt engineering, tuning, and evaluation techniques for various use cases Fine-tune foundation models using domain-specific datasets when required Work with GCP services including Dialogflow CX, Vertex AI, BigQuery, Cloud Functions Contribute to best practices, documentation, code repositories, and DevOps pipelines Essential Skills & Experience 3+ years of experience as an AI/ML Engineer or Software Engineer in AI-focused projects Strong knowledge of LLMs, transformers, and conversational AI Experience with LangChain, LangGraph, or similar LLM orchestration tools Hands-on experience with FastAPI or equivalent Python frameworks for backend services Familiarity with Prompt Engineering, RAG, and LLM evaluation techniques Deep understanding of vector search, embeddings, and similarity-based retrieval Working knowledge of Dialogflow CX or equivalent chatbot frameworks Strong software engineering foundation – Git, CI/CD, testing, REST APIs Bonus Skills (Nice to Have) Data Engineering experience: ETL, Airflow, dbt, BigQuery, or Snowflake Experience building web crawlers, custom scrapers, or integrating external knowledge sources Experience setting up data lakes/warehouses and pipelines Familiarity with cloud infrastructure: GCP, AWS, or Azure Familiarity with fine-tuning open-source LLMs (e.g., LLaMA, Mistral, etc.) Experience in evaluating LLM safety, reliability, and cost-performance tradeoffs Exposure to frontend frameworks (React, Next.js) for chatbot UI integration #J-18808-Ljbffr

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