3 часа назад
Software Engineer, Applied AI
175 000 - 290 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Applied AI (LLM agents): Building and improving production agent systems for professional-services workflows with an accent on retrieval, document understanding, tool use, memory, and orchestration. Focus on designing evaluations, analyzing production traces, and turning model and user-behavior findings into product and architecture decisions.
Location: New York, NY; in person 5 days per week
Salary: $175,000–$290,000 base salary, plus equity and bonus.
Company
is building an AI layer for professional services and software implementation, automating documentation, discovery, and decision-making for services workflows.
What you will do
- Build and improve production agent systems across retrieval, tool use, document understanding, memory, and orchestration.
- Design evaluations and experiments to measure agent quality in production.
- Analyze traces, failures, and user behavior to guide product and architecture decisions.
- Work with operations, go-to-market, and deployed teams to understand real workflows and agent failures.
- Evaluate models, prompts, and system designs across enterprise tasks.
- Own the loop from idea through implementation, measurement, and iteration.
Requirements
- Strong engineering fundamentals and experience shipping production systems.
- Fluency in Python.
- Experience with LLM-powered products, agent systems, or adjacent applied AI systems.
- An empirical approach using logs, traces, experiments, and real usage to investigate problems.
- Strong understanding of how retrieval, prompting, memory, tools, and user experience interact.
- High ownership, comfort with ambiguity, and strong opinions about effective agent systems.
Nice to have
- Experience with retrieval, search, or ranking systems.
- Experience designing evaluations, benchmarks, or feedback loops for LLM systems.
- Experience building internal tools, workflow products, or operator-facing systems.
- Startup or other high-ownership experience.
- Projects involving agent harnesses, LLM evaluations, tool interfaces, memory systems, retrieval systems, model routing, or orchestration experiments.
Culture & Benefits
- Equity with significant upside for an early-stage team.
- Competitive, top-of-market salary.
- Medical, dental, and vision coverage.
- Monthly wellness stipend and unlimited PTO.
- Daily meal stipend and dinner coverage when working late.
- Weekly happy hours and team outings.
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