LLM Applications Engineer

AI in this role

langchainllamaindexhaystack

ai-agentsai-evaluation

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

How we score this

LLM Applications Engineer at Uncountable scores 91 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsAI EvaluationLangChainLlamaIndexHaystack

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
How do you decide that one model's output is better than another's for a given task?
What are the limits of LangChain that you've run into, and how did you work around them?
What's a project where you used LlamaIndex hands-on?
Walk me through how you've used Haystack in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI Agents, AI Evaluation, LangChain, LlamaIndex, and Haystack. 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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