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# LLM Applications Engineer

- **Company:** Uncountable Engineering
- **Location:** München, Germany
- **Experience:** Experienced
- **Salary:** €130,000.0 - €175,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Data Analysis, Python (Programming Language), PostgreSQL, Performance Tuning, Software Engineering, SQL Databases, TypeScript, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Backend, Syntactically Awesome Style Sheets (SASS), Material UI, Information Technology, Front End Software Development, React Redux, Api Design
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/llm-applications-engineer-uncountable-com-8125653

## About the Role

* 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., * 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

## Description

* Infrastructure: Implement and optimize RAG (Retrieval-Augmented Generation) pipelines, vector databases, and prompt management systems.
 * 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.


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