Aceup - Machine Learning Engineer (Generative Ai & Llm Focus), Moreno

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 are comfortable with async programming and type hinting.GenAI Curious: You have likely built your own projects using OpenAI APIs or LangChain.
You understand concepts like "Context Window," "Temperature," and "Embeddings" intuitively.Problem Solver: You don't just blame the model when it fails; you investigate the data, the prompt, and the retrieval logic to find the root cause.Team Player: You are ready to collaborate with Full Stack engineers to define the JSON contracts and APIs they need to integrate your models.RequirementsExperience: 3+ years of professional software engineering experience.ML Experience: 1+ years of experience working with Machine Learning or Data Engineering pipelines.LLM Exposure: Demonstrated experience (professional or significant side projects) working with LLM APIs (OpenAI, Anthropic, or Vertex AI).
Cloud Experience: Familiarity with a cloud provider (GCP preferred, AWS/Azure acceptable).
Language: Conversational English is required.Education: B.S. in Computer Science, Mathematics, or related field.Nice to HavesExperience with LangChain or LlamaIndex.Experience using Firebase/Firestore.Understanding of basic DevOps (Docker, CI/CD).
AceUp is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment.Interview processSilver Screening interviewTake Home ChallengeFirst meeting with client: Intro Intro Call + Problem SolvingTechnical InterviewInterview with Product
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