2 часа назад
LLM Applications Engineer
130 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
LLM Applications Engineer (Generative AI/Full-Stack): Designing and scaling LLM infrastructure and AI features for a scientific R&D platform with an accent on retrieval systems, agentic workflows, and grounded responses from experimental data. Focus on building AI-driven interfaces, integrating LLMs with SQL databases and data analysis engines, and optimizing production performance.
Location: Hybrid in New York, San Francisco, Munich, or London
Salary: $130K–$175K annually plus equity
Company
is building an AI-first R&D ecosystem that helps scientists at Fortune 500 companies accelerate scientific discovery through Generative AI.
What you will do
- Design, build, and scale LLM infrastructure for the Web Platform.
- Develop user-facing AI features and intuitive UI components for querying, analyzing, and visualizing experimental datasets.
- Build retrieval systems, agentic workflows, and data pipelines that connect experimental data with actionable AI insights.
- Integrate LLM capabilities with SQL databases and data analysis engines to produce grounded, high-fidelity responses.
- Work across the AI backend and React frontend while improving API performance and asynchronous processing.
Requirements
- At least 2 years of software development experience focused on full-stack web applications.
- Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Haystack.
- Proficiency in Python and JavaScript or TypeScript.
- Experience with API design, asynchronous processing, and performance optimization.
- Ability to work with the listed hybrid office locations.
Nice to have
- B.S. in Computer Science or a related technical field.
- Experience evaluating LLMs and mitigating hallucinations in scientific or technical contexts.
- Familiarity with SQL query optimization for LLM context generation.
- Product mindset focused on seamless LLM-first user experiences.
Culture & Benefits
- Work with an AI-first engineering approach and agentic coding practices.
- Backend stack: Flask, Python, and Postgres.
- Frontend stack: React, TypeScript, Redux, and Sass.
- Equity compensation.
- Health and dental insurance.
- 401(k) with employer contribution.
Hiring process
- Follow-up information is provided through the company's interviewing guide.
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