обновлено 3 дня назад
GenAI Software Engineers
255 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GenAI Software Engineers (LLM/Healthcare AI): Building dependable agentic LLM workflows and production-grade clinical systems with an accent on retrieval, structured tool use, evaluation, and clinical reliability. Focus on designing experiments to expose failure modes, optimizing low-latency workflows, and deploying monitored AI systems with post-processing guardrails.
Location: Hybrid; must work from the San Francisco or New York office at least 3 times per week. Relocation assistance is available for candidates willing to move to San Francisco.
Salary: $255,000–$300,000 estimated annual base salary for mid, senior, and staff-level engineers, plus equity.
Company
is a healthcare AI company building an enterprise platform that transforms patient-clinician conversations into structured clinical notes with real-time EMR integrations.
What you will do
- Design and build agentic systems using LLMs, retrieval, structured outputs, tool use, and agentic reasoning.
- Scale and optimize workflows by managing latency, context windows, model selection, and intermediate state.
- Make architectural decisions about data flow, generative outputs, caching, and workflow structure.
- Build benchmark datasets and automated and human-in-the-loop evaluation frameworks.
- Design experiments, run A/B tests, investigate failure modes, and incorporate clinician feedback into model improvement.
- Productionize LLM workflows in low-latency, high-uptime environments with monitoring, observability, guardrails, and versioning.
Requirements
- 3+ years of experience building production-grade systems, including 1–2+ years focused on LLM-powered or agentic products.
- Deep familiarity with LLM APIs, prompting strategies, and orchestration patterns such as LangChain, LlamaIndex, or custom pipelines.
- Experience with retrieval systems, vector databases, efficient k-nearest-neighbor search, function calling, tool use, or agentic workflows.
- Knowledge of model evaluation, diverse dataset development, automated and human-in-the-loop evaluation, A/B testing, and collaboration with subject-matter experts.
- Strong Python fundamentals, clean modular code, comprehensive test cases, and familiarity with core language features and standard libraries.
- Ability to work from the San Francisco or New York office at least 3 times per week.
Nice to have
- Experience with asynchronous programming, performance profiling, packaging, and deployment tooling.
- Experience rapidly prototyping with new models, open-source tools, and advanced prompting techniques.
Culture & Benefits
- Fast-paced, high-growth startup environment with an emphasis on ownership, empathy, and measurable impact.
- Flexible work hours, inclusive culture, and ongoing learning opportunities.
- Paid holidays, flexible PTO, paid parental leave, and sabbatical leave after 5 years.
- Medical, dental, vision, HSA, FSA, commuter, and mental health benefits.
- 401(k) matching, personal device allowance, lifestyle wallet, family-forming benefits, and equity grants.
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