7 часов назад
Senior Applied AI Engineer (AI)
160 000 - 195 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied AI Engineer (AI/Python): Building scalable infrastructure, frameworks, and production services for LLM-powered financial wellness features with an accent on reliability, evaluation, and operational efficiency. Focus on optimizing latency and cost, improving AI output quality, and enabling engineers to ship production-grade AI capabilities.
Location: Remote within the United States; must live and work in the U.S. and be eligible for employment by any U.S. employer.
Annual base salary: $160,000–$195,000, depending on qualifications, experience, and location.
Company
is a remote-first SaaS company building AI-powered financial wellness solutions for employees and HR teams.
What you will do
- Design and implement scalable AI services and infrastructure for production SaaS features.
- Build frameworks and internal tooling that enable engineering teams to develop AI capabilities.
- Develop systems for LLM output evaluation, model tuning, optimization, and quality improvement.
- Deploy and operate reliable AI services in production while optimizing latency and cost efficiency.
- Partner with the CTO on AI architecture, model usage, system design, and emerging AI capabilities.
- Provide technical guidance and establish engineering patterns for AI-powered feature development.
Requirements
- 5+ years of software engineering experience, including strong backend or systems development.
- Strong Python development experience.
- Experience designing backend services or distributed systems.
- Production experience integrating LLM APIs, generative AI services, or AI-enabled capabilities.
- Experience evaluating or improving AI model performance in production environments.
- Strong systems design, problem-solving, collaboration, technical ownership, and leadership skills.
Nice to have
- FastAPI or similar framework experience.
- Experience with model fine-tuning, RAG, prompt evaluation, or LLM evaluation methods.
- Experience building internal AI tooling, infrastructure, vector databases, or AI data pipelines.
- Fintech or B2B SaaS experience.
Culture & Benefits
- Remote-first environment with experienced product and engineering leaders.
- Work on practical AI applications deployed in a live fintech product.
- Annual performance bonus and equity participation.
- Medical, dental, and vision coverage.
- 401(k) with company contribution, life insurance, and paid time off.
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