5 дней назад
Senior AI Engineer
170 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (LLM/RAG): Building and scaling intelligent agents for regulated financial workflows with an accent on multi-agent orchestration, production infrastructure, and system evaluation. Focus on optimizing accuracy, latency, reliability, cost, and explainability while designing reusable AI platform components and backend APIs.
Location: NYC-Metro; hybrid
Base compensation: $170,000–$210,000 annually, plus annual bonus and equity
Company
builds production-ready agentic intelligence for financial services, enabling regulated institutions to automate workflows within defined controls and audit boundaries.
What you will do
- Design and deploy LLM-powered agents using prompt engineering, tool use, orchestration logic, RAG, and system evaluation.
- Build multi-agent systems that automate complex credit workflows and support traceable, inspectable outputs.
- Partner with technical and non-technical stakeholders at major credit firms to identify workflow problems and co-develop AI solutions tied to ROI.
- Architect and maintain backend systems and APIs connecting data sources and customer platforms, ensuring availability, performance, and observability.
- Optimize agentic systems across accuracy, latency, reliability, cost, and explainability.
- Shape reusable agent-deployment infrastructure, engineering standards, hiring practices, and the technical roadmap.
Requirements
- 6–10+ years of software engineering experience.
- 1–2+ years of hands-on experience building LLM-based agents and/or RAG systems in production.
- Experience with multi-agent orchestration, agent handoffs, RAG, vector database routing, LLM optimization, and evaluation or guardrail frameworks.
- Proficiency in Python and experience with modern AI/ML frameworks, cloud infrastructure, and APIs; GCP is preferred.
- Strong judgment in system architecture, performance, and scaling, with clear communication in ambiguous, high-stakes environments.
- Ability to work in the NYC-Metro hybrid setup.
Nice to have
- Experience with human-in-the-loop systems, feedback loops, and long-horizon agentic task execution.
- Background in financial systems, risk modeling, or decision automation.
- Familiarity with PydanticAI, LlamaIndex, Google ADK, Claude Agent SDK, or similar frameworks.
- Experience building internal AI platforms or reusable LLM tooling.
Culture & Benefits
- Work directly with the founders and take ownership of key technical decisions as an early hire.
- Contribute to engineering culture, hiring standards, and long-term technical direction.
- Annual bonus and equity in addition to base compensation.
- Focus on curiosity, pragmatism, engineering excellence, and building enduring systems.
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