Platform Engineer - Generative AI

Uncountable is hiring a Platform Engineer - Generative AI in New York and London. It pays $120k-$160k a year and Level rates it ; you can apply on Uncountable.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions fine tuning among its tools and skills.
Level classes it as a mid-level role.
Uncountable has 32 other open roles on Level.

AI in this role

fine-tuning

Thank you for your interest in Uncountable Engineering!

Description

‍Uncountable is seeking driven software engineers with a focus on Generative AI deployment in software.

Uncountable’s software platform is used by scientists in leading scientific R&D organizations to structure and analyze experimental data. Uncountable’s users are solving critical problems in materials science, chemistry, biotech, and other scientific fields, and our goal is to help them solve those problems faster.

Your role will be to bring the full power of ongoing advances in LLMs to bear on real-world problems and friction faced by scientists every day. You’ll be building AI-powered search and visualization tools, next-generation UX that use multimodal LLMs as the UI, intelligent research assistants, and more. This is a unique opportunity to join the front-line effort to accelerate scientific progress using LLMs and generative AI.

Primary Responsibility

You will be responsible for:

- Building specific LLM powered features end-to-end, including both LLM-specific tasks (prompting, optimizing latency, tuning/testing behavior) and traditional fullstack development tasks (coding frontends/backends, designing APIs and databases)

- Developing a great in-house LLM stack to serve the evolving needs of our product (API integration, testing, observability, caching, infrastructure for fine-tuning and inference, etc)

Uncountable has a strong culture of continuous deployment and fast iteration cycles. You’ll expect to ship your work early and often to Uncountable’s users and iterate based on their feedback.

Many of the features you build will represent new and unprecedented ways to use software, so you’ll wear various hats as a designer, researcher, engineer, product manager, and whatever else is needed to create an amazing product. This is a great role for someone who is looking to grow their skills and perspective quickly, or who wants to found their own company in the future.

Salary Range: $120K-$160K + Equity

Requirements

‍‍2 years of development experience
Strong interest in Generative AI
Solid computer science and software engineering fundamentals

Preferred Qualifications

‍‍B.S. in computer science
Experience shipping software incorporating Generative AI to users (e.g. started an LLM startup or shipped a side project with real usage)
Familiarity with fullstack web development

Our Current Stack

Backend: Flask (Python), Postgres
Frontend: React (Typescript), Redux, Sass

Benefits

Competitive Salary and Equity
Health and Dental Insurance
401K with Employer Contribution

What's next? Learn more about Interviewing at Uncountable

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How we rate this

Platform Engineer - Generative AI at Uncountable rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Platform Engineer - Generative AI is an open job at Uncountable.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $120k-$160k a year.
The role is based in New York, San Francisco, Munich or London.
The job was posted on April 21, 2025.
Seniority: mid.
Applications are handled by Uncountable. Apply on Uncountable

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuning

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Fine-tuning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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