A－ AI Solutions Engineer（汐止總部）

【Role Overview】 Be part of a Pixel-team POC that ingests client device data, powers a multi-agent AI assistant using Google ADK/Vertex AI with RAG, and surfaces compliance insights via a simple web UI. Own data pipelines, agent orchestration (MCP), LLM integration, and lightweight dashboard/reporting.

【Key Responsibilities】

• Data & ETL: ingest CSV/Excel/Docs/PDF from GCS; normalize, chunk, embed; incremental sync to vector store.
• Agentic AI: design MCP hub-and-spoke; build specialized agents (RAG-Fusion KB, CertCloud, RF-OTA reporting, test automation, lab scheduling).
• RAG & LLM: implement retrieval chains, prompt design, context assembly, quality/latency tuning.
• Web UI: deliver minimal Django UI for file upload + chat.

【Must-Have Qualifications】

• Strong Python Skills
• Experience with agent frameworks and built AI Agents (Google ADK, LangChain, LangGraph, LlamaIndex, Semantic Kernel).
• Hands-on AWS/Azure/GCP (preferred) such as Cloud Storage, Pub/Sub, Cloud Functions/Run, IAM and Vertex AI.
• RAG experience end-to-end (chunking, embeddings, vector search, fusion/re-ranking, prompts).
• Vector search on GCP (Matching Engine or BigQuery Vector Search, or equivalent ANN experience).
• Frontend familiarity to wire a minimal chat/upload UI and embed dashboards.
• Bilingual Mandarin/English; comfortable collaborating with Banqiao and US teams.

【Nice-to-Have】

• Scheduling/optimization know-how.
• Telecom/test reporting exposure (RF/OTA) or QA automation integration.
• Security/compliance on GCP (VPC-SC, org policies).