We Make MVP

Joined in 2021
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We Make MVP is a boutique tech consultancy specializing in no-code, design, and AI.

 

Using tools like Bubble, we help founders and business owners raise hundreds of thousands of dollars in funding—and save just as much on development costs—through efficient, scalable solutions.

 

Our small, selective team works only with clients we can truly accelerate. 

 

The environment is fast-moving and straight to the point, with clear expectations and strict accountability. 

 

We thrive alongside ambitious, high-performing people and reward them accordingly.

 

Outstanding work ethic, integrity, honesty, and proactive ownership are essential to how we operate.

  • · 142 views · 24 applications · 26d

    AI Engineer, fine-tuning expert

    Part-time · Full Remote · Worldwide · 3 years of experience · English - None
    We are building an AI agent that will ultimately generate a dashboard from financial data. We are looking for an AI Engineer with extensive LLM experience, specifically fine-tuning, to help our finance experts create state-of-the-art dashboard examples we...

    We are building an AI agent that will ultimately generate a dashboard from financial data. We are looking for an AI Engineer with extensive LLM experience, specifically fine-tuning, to help our finance experts create state-of-the-art dashboard examples we can feed into the agent. We also need to develop a system to evaluate the results and improve them by involving our experts as judges (human-in-the-loop).

     

    What you’ll work on

    • Partner with finance experts to define what “great” looks like (KPIs, charts, dashboard layout, insights). 
    • Generate synthetic dataset for experts to work with using existing data samples of real companies.
    • Fine-tune the LLM with the SOTA dashboards that we will prepare
    • Build an evaluation and human-in-the-loop system to improve AI Agent responses.
    • Work on AI agent architecture improvements, including prompt updates and prompt engineering.

     

    Nice to have

    • Familiarity with finance dashboards, FP&A, accounting, BI

     

    Please include 2 case-studies of LLM fine-tuning or LLM response improvement that you delivered. 

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