- Location
- bangkok, TH
- Type
- Contract
- Department
- Engineering
- Experience
- 3+ years
- Education
- Bachelor
- Source
- Breezy HR
Description
Responsibilities:
- Build a tool that project owners can use on their own, without asking FinOps every time.
- Let users change these inputs: which model, how many transactions per day, average tokens in, average tokens out, and how much will be cached.
- Make the tool simple enough for a non-technical project owner to use.
- Build and tune the cost formula so the estimate is as close as possible to real production cost.
- Include the effects of caching, retries and other overhead in the estimate.
- Add new models to the tool when they become available.
- Change prices when vendors change them, and keep a clear version history of the price list.
- After a project goes live, compare the forecast with the real cost from the FinOps platform.
- Find where the formula was wrong and fix it.
- Report forecast accuracy so users know how much to trust the numbers.
- Work with the Agentic AI Platform team to bundle this tool into the main platform.
- Share the forecast numbers with whoever is pricing work for customers.
Qualification:
- Bachelor's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics or a related field.
- 3-5 years of experience in software engineering, data science or analytics engineering, including building tools that other people use.
- Experience building cost, pricing or capacity models and checking them against real data.
- Experience delivering a web tool or API used by non-technical users.
- Experience with LLM applications and how their cost behaves is a strong advantage.
Skills
Data Science