1 день назад
Staff Software Engineer - Customer Facing Applied AI
158 000 - 248 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer - Customer Facing Applied AI (AI/Python): Building production AI capabilities, agent frameworks, evaluation infrastructure, and platform patterns by turning complex client workflows into generalized products with an accent on agent architecture, multi-model orchestration, and production reliability. Focus on designing shared AI platforms, evaluating production readiness, scaling observability and SLOs, and translating high-stakes client engagements into product direction.
Location: Remote, United States
Base salary: $158,000–$248,000 USD per year, plus bonus, equity, and benefits.
Company
is a global data and AI platform that helps investment professionals turn portfolio, market, and client data into actionable intelligence.
What you will do
- Set technical direction for AI engineering, including agent architectures, evaluation methods, deployment, and monitoring.
- Design shared AI platform capabilities such as agent frameworks, tool integrations, and evaluation infrastructure.
- Work directly with clients to identify automation opportunities, prototype AI capabilities, and deliver production-quality solutions.
- Move client-specific prototypes into generalized products in partnership with core engineering teams.
- Establish observability, SLOs, and operational practices for reliable AI systems.
- Mentor AI and full-stack engineers and translate client insights into product roadmap priorities.
Requirements
- 6+ years of professional software engineering experience.
- Professional experience with Python.
- Deep experience building and operating AI/LLM-powered systems in production, including agent architectures, multi-model orchestration, and evaluation at scale.
- Experience designing platforms and technical systems that other engineers build on.
- Experience taking products or capabilities from zero to one and working directly with customers or external stakeholders.
- Strong judgment, communication, and technical leadership skills, plus a BS/MS in Computer Science, Mathematics, another quantitative field, or equivalent experience.
Nice to have
- Experience designing multi-service AI platform architectures.
- Experience with Java or other backend languages.
- Financial services domain knowledge, including portfolios, trading, document management, or regulatory workflows.
- Production observability, SaaS operational excellence, developer experience, or internal platform experience.
Culture & Benefits
- Values ownership, collaboration, client focus, innovation, and continuous learning.
- Compensation includes base salary, bonus, equity, and benefits.
- Equal opportunity employer committed to inclusion and belonging.
- Reasonable accommodations are available for candidates with disabilities.
Hiring process
- Formal interviews are required before any offer is made.
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