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LLM Applications Engineer
- San Francisco, California, United States
- San Francisco, California, United States
À propos
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.
Salary Range: $130K–$175K + 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
What's next? Learn more about Interviewing at Uncountable Learn more about our engineering team: Check out our blog #J-18808-Ljbffr
Compétences linguistiques
- English
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