Senior AI Engineer (AI Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Engineer (AI Platform): Responsible for architecting and driving the execution of core AI capabilities that power the platform with an accent on delivering AI-native products. Focus on hardening cutting-edge AI systems into robust, scalable, and high-performance production systems.
Location: New York, NY. Must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship.
Salary: $179,000 - $224,000 (base salary) + bonus + equity + benefits.
Company
is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence.
What you will do
- Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services.
- Architect, build, and productionize core components of the AI platform, including LLMs, agentic frameworks, and core agent capabilities.
- Enforce technical discipline and operational excellence for all AI products.
- Rapidly iterate on AI products based on performance metrics and user feedback.
- Lead the evaluation and adoption of new AI technologies and frameworks.
- Partner with product managers and engineering teams to translate strategic goals into technical realities.
Requirements
- 3-6+ years of professional experience in backend software engineering with expertise in Python, Golang, gRPC, AWS, and Kubernetes.
- Proven track record of owning and shipping complex, production-grade systems.
- Proven experience shipping and maintaining AI-native products or features.
- Deep ownership mindset, seeing projects through to completion.
- A strong bias for action, with a passion for shipping rapidly and iterating with feedback.
- BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience.
Nice to have
- Specific experience with LLMs and agentic systems.
- Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow.
- Advanced understanding of the probabilistic systems underpinning modern LLMs.
- Experience building AI products in highly accuracy-sensitive domains such as finance is a plus.
Culture & Benefits
- Act Like an Owner: Think and operate with intention, purpose, and care.
- Build Together: Collaborate to unlock the best solutions and deliver lasting value.
- Champion Our Clients: Exceed client expectations; client success is company success.
- Drive Innovation: Be bold and unconstrained in problem-solving to transform the industry.
- Embrace Learning: Engage the community to broaden perspectives and bring a growth mindset.
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