About the company AceUp https://aceup.com/ 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 Stack:

- We 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 Do:

- Build & 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 Are:

- A 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.

Requirements:

- Experience: 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 Haves:

- Experience 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 process:

- Silver Screening interview

- Take Home Challenge

- First meeting with client: Intro Intro Call + Problem Solving

- Technical Interview

- Interview w/Product