[Hiring] Machine Learning Engineer @Silver.dev

Role Description

AceUp is 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

• GCP-native shop
• 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 specific prompt chains and logical flows for conversational agents.
  • Iterate on system instructions to improve model tone, accuracy, and compliance.
• Develop RAG Retrievers:
  • Write code that chunks, embeds, and indexes proprietary content.
  • Fine-tune retrieval queries for optimal AI context.
• Python Backend Development:
  • Build robust Python services and APIs using frameworks like FastAPI or GCP Cloud Functions.
• Model Evaluation:
  • Create and run evaluation datasets (“Golden Sets”) to measure model performance.
  • Catch hallucinations or regressions before they reach the user.
• Data Processing Pipelines:
  • Write efficient scripts to clean and structure unstructured data for analysis.
• Collaborate on Architecture:
  • Work with the Lead ML Engineer to prototype new ideas.
  • Validate if new approaches work in practice.

Qualifications

• A Strong Python Developer:
  • Writes clean, modular, and testable Python code.
  • Comfortable with async programming and type hinting.
• GenAI Curious:
  • Has built projects using OpenAI APIs or LangChain.
  • Understands concepts like “Context Window,” “Temperature,” and “Embeddings.”
• Problem Solver:
  • Investigates data, prompts, and retrieval logic to find root causes of model failures.
• Team Player:
  • Ready to collaborate with Full Stack engineers to define JSON contracts and APIs.

Requirements

• Experience: 3+ years of professional software engineering experience.
• ML Experience: 1+ years of experience with Machine Learning or Data Engineering pipelines.
• LLM Exposure: Demonstrated experience 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).

Interview Process

• Silver Screening interview
• Take Home Challenge
• First meeting with client: Intro Intro Call + Problem Solving
• Technical Interview
• Interview w/Product