About the companyAceUp is evolving from a traditional SaaS platform into an AI-first leadership development engine.We are looking for a Machine Learning Engineer who is passionate about Generative AI. You will work closely with our Lead ML Engineer and Product team to turn high-level architectural designs into functioning, production-ready AI features. This is a hands‑on coding role where you will live in Python and Vertex AI.The Tech StackWe are a GCP-native shop. You will be building directly within the Google Cloud ecosystem.GenAI & Compute: Vertex AI, Gemini Pro/Ultra, PaLM API, Cloud Functions.Data & Vector: Firestore, BigQuery, Vertex AI Vector Search.Orchestration: Cloud Run, Pub/Sub.Frameworks: Python, LangChain/LangGraph.What You Will DoBuild & Optimize LLM Workflows: Implement the specific prompt chains and logical flows that power our conversational agents. You will iterate on system instructions to improve model tone, accuracy, and compliance.Develop RAG Retrievers: Write the code that chunks, embeds, and indexes our proprietary content. You will fine‑tune retrieval queries to ensure the AI always has the right context.Python Backend Development: Build the robust Python services and APIs (using frameworks like FastAPI or GCP Cloud Functions) that wrap our AI models and expose them to the Full Stack team.Model Evaluation: Create and run evaluation datasets (“Golden Sets”) to measure the performance of our models. You will be responsible for catching hallucinations or regressions before they reach the user.Data Processing Pipelines: Write efficient scripts to clean and structure unstructured data (text logs, transcripts) for downstream analysis.Collaborate on Architecture: Work with the Lead ML Engineer to prototype new ideas. You will be the “first implementer” validating if a new approach (like a specific agentic framework) actually works in practice.Who You AreA Strong Python Developer: You write clean, modular, and testable Python code. You