Application Engineer designing and developing software applications. Collaborating with stakeholders to meet business requirements through effective coding and troubleshooting.
About the role
- Engineer building LLM infrastructure for AI-first R&D platform at Uncountable. Designing retrieval systems and data pipelines for experimental data insights.
Responsibilities
- Your primary responsibility is to design, build, and scale the LLM infrastructure and user-facing AI features of the Uncountable Web Platform.
- Implement and optimize RAG (Retrieval-Augmented Generation) pipelines, vector databases, and prompt management systems.
- Build intuitive, AI-driven UI components that allow scientists to query, analyze, and visualize complex experimental datasets.
- Connect LLM capabilities with our core SQL databases and data analysis engines to ensure high-fidelity, grounded AI responses.
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.
Benefits
- Competitive Salary and Equity
- Health and Dental Insurance
- 401K with Employer Contribution
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