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Role description

LLM Applications Engineer

Uncountable logoUncountable
AI-native
TypeFull-time
WorkplaceHybrid
SeniorityJunior
Salary$125,000–$160,000
LocationNew York, NY
Posted1/19/2026
Engineering

Thank you for your interest in Uncountable Engineering!

Description

Uncountable is seeking experienced engineers to lead the transformation of our platform into an AI-first R&D ecosystem. We are building the next generation of tools that empower scientists at Fortune 500 companies to accelerate discovery through Generative AI.

As an LLM Applications Engineer, you will be the architect of our LLM infrastructure. You won't just be building interfaces; you will be designing the retrieval systems, agentic workflows, and data pipelines that bridge the gap between complex experimental data and actionable AI insights. Your work will directly modernize how the world’s leading researchers interact with their data.

Primary Responsibility

Your primary responsibility is to design, build, and scale the LLM infrastructure and user-facing AI features of the Uncountable Web Platform. This is a hybrid role requiring a deep understanding of full-stack development and the unique challenges of deploying LLMs in production.

  • Feature Development: Build intuitive, AI-driven UI components that allow scientists to query, analyze, and visualize complex experimental datasets.

  • Integration: Connect LLM capabilities with our core SQL databases and data analysis engines to ensure high-fidelity, grounded AI responses.

Salary Range: $125K–$160K + Equity

Requirements

  • 2+ years of software development experience with a focus on full-stack web applications.

  • Proven experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or Haystack).

  • Proficiency in Python and JavaScript/TypeScript: Ability to work across the AI backend and the React frontend.

  • Solid Engineering Fundamentals: Experience with API design, asynchronous processing, and performance optimization.

Preferred Qualifications

  • B.S. in Computer Science or a related technical field.

  • Experience with LLM Evaluation: Knowledge of how to measure and mitigate "hallucinations" in a scientific/technical context.

  • Familiarity with SQL: Specifically optimizing queries that serve as the context for LLM prompts.

  • Product Mindset: A passion for creating "LLM-first" user experiences that feel seamless rather than bolted-on.

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

Agentic Coding

Development at Uncountable has changed dramatically due to the introduction of LLM's. Read more about our practices at:

https://engineering.uncountable.com/coding

We're excited for you to build the future of development with us.

What's next? Learn more about Interviewing at Uncountable

Learn more about our engineering team: Check out our blog

By applying for this role, your personal data will be processed in accordance with our Privacy Policy.

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Company info

Uncountable logo

Uncountable

The #1 AI Platform for End-to-End Product Development

Uncountable is the AI Platform for end-to-end product development. Serving product organizations across chemicals, advanced materials, consumer goods, food and agriculture, and pharmaceuticals, Uncountable captures, structures, and connects data across the full product lifecycle, from ideation to commercialization. Unlike legacy point systems that leave data fragmented, Uncountable creates a unified data layer powering AI-driven innovation, productivity, and risk reduction. With more than 150 customers worldwide and offices in the US, Germany, the UK, and Singapore, Uncountable gives product teams the confidence to innovate and grow. Learn more at https://www.uncountable.com.

Private companySeries AAI-product
Founded2016
HQ
Unlock human wisdom
ThesisTermsPrivacy
San Francisco, United States
Size201–500 employees
IndustrySoftware Development
Funding
  • Series A · $27M · Jun 17, 2025
Investors
Sageview Capital

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