3 дня назад
Mid-Level AI Engineer
180 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Mid-Level AI Engineer (AI/RAG): Building agentic systems and full-stack AI products that automate complex, multi-step workflows across regulated and enterprise domains with an accent on retrieval infrastructure, multi-agent orchestration, and production reliability. Focus on designing RAG pipelines, evaluation and safety systems, API-driven services, and enterprise-ready products from MVP through production.
Location: On-site in San Francisco, California, United States; candidates must work on-site or relocate
Salary: $180,000–$400,000 USD annually, plus equity
Company
is an early-stage AI startup building talent and recruitment products for complex enterprise and regulated-domain workflows.
What you will do
- Design, build, and maintain agentic systems that automate multi-step workflows across healthcare, legal, fintech, logistics, and compliance.
- Own production RAG pipelines and retrieval infrastructure, including vector databases, embeddings, and domain-specific indexing.
- Implement multi-agent orchestration, tool calling, memory, and reasoning components.
- Develop evaluation and safety infrastructure to measure model performance, detect regressions, and enforce enterprise reliability.
- Ship full-stack AI products from MVP to enterprise-grade, including APIs, data models, frontend and backend code, CI/CD, monitoring, and testing.
- Collaborate with product and design stakeholders to define success metrics and iterate using user feedback and telemetry.
Requirements
- 2–8 years of software engineering experience with shipped user-facing or backend products.
- Production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
- Full-stack proficiency in Python and TypeScript/React or equivalent, plus AWS or GCP and relational or NoSQL databases.
- Working knowledge of RAG patterns, vector databases, embeddings, retrieval pipelines, automated testing, evaluations, and AI-system monitoring.
- Experience with agent or workflow frameworks such as LangGraph or CrewAI and orchestration tools such as Temporal or Trigger.
- Must be able to work on-site in San Francisco or relocate; visa sponsorship is not available.
Nice to have
- Experience with fine-tuning, parameter-efficient tuning, or multimodal model integration.
- Background building multi-tenant or enterprise-ready systems or working in healthcare, fintech, legal, or another regulated industry.
- Experience designing API-driven, high-throughput systems and real-time product features.
- Startup operating experience and comfort in a cross-functional, high-ownership environment.
Culture & Benefits
- Work directly with a small founding team on the core product.
- Contribute in an early-stage, high-ownership startup environment.
- Receive equity in addition to the base salary.
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