5 дней назад
Staff Software Engineer, AI
210 000 - 263 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer, AI (LLM/RAG): Developing and integrating production AI capabilities for a fintech automation platform with an accent on LLM APIs, RAG applications, and scalable AI system architecture. Focus on model orchestration, rate-limit and cost optimization, AI feature evaluation, production monitoring, and data-intensive pipelines.
Location: New York, United States. Candidates who live within a reasonable commute to a office must work in the office at least 3 days a week.
Salary: $210,000–$263,000 per year, plus eligible short-term and long-term incentive programs.
Company
is a technology-based company developing finance automation products and an AI platform.
What you will do
- Develop and refine AI capabilities for client-facing solutions, taking concepts from ideation through production.
- Integrate AI solutions into existing production processes.
- Design and implement scalable AI system architecture, including model orchestration, caching strategies, and fallback mechanisms.
- Evaluate and implement new AI technologies and methodologies.
Requirements
- 4+ years of experience as a Full Stack Software Engineer or in a similar role developing, shipping, and testing software in an established enterprise.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Production experience with LLM APIs such as OpenAI, Anthropic, or Google, including rate-limit handling, cost optimization, and performance monitoring.
- Production experience using RAG frameworks with proprietary applications and datasets.
- Experience with AI system testing, model evaluation, A/B testing of AI features, and production model-performance monitoring.
- Experience with data pipelines and ETL/ELT processes.
Nice to have
- Experience working with firewalls, routers, and load balancers.
Culture & Benefits
- Professional development seminars and learning opportunities.
- Inclusive affinity groups supporting diverse backgrounds and perspectives.
- Short-term and long-term incentive programs based on eligibility.
- Benefit and wellness plans.
- Workplace combining virtual and in-person collaboration.
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