8 дней назад
Product Engineer - Private Equity Platform (AI)
185 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Engineer - Private Equity Platform (AI): Building end-to-end technology products and workflow features for investment activities with an accent on data modeling, APIs, databases, UI development, and LLM-powered systems. Focus on integrating generative AI and agentic frameworks into production, translating investment workflows into scalable products, and delivering solutions from prototypes to stable releases.
Location: New York, NY 10036
Salary: $185,000–$250,000 per year
Company
develops technology products that support private equity investment activities and operational workflows.
What you will do
- Lead end-to-end development of technology products for investment and operations teams.
- Partner with stakeholders to identify high-impact product opportunities and translate feedback into roadmaps.
- Define data models, workflows, and business process maps for operational products.
- Design and build features using large language models and generative AI.
- Deliver products from prototypes and proofs of concept through stable, scalable solutions.
- Contribute code during early-stage product development when needed.
Requirements
- Bachelor’s degree or higher, preferably in Computer Science, Engineering, or a related field.
- 2–5 years of relevant professional experience, including at least 2 years in product development with engineering teams.
- At least 1 year of experience building workflow products that improve operational efficiency.
- Experience shipping end-to-end products with full-stack understanding of APIs, databases, and UI development.
- Hands-on experience building and integrating LLM-powered systems into production environments.
- Familiarity with agentic frameworks, strong communication skills, and the ability to manage multiple projects.
Nice to have
- Startup experience or exposure to venture or vertical-specific products.
- Knowledge of private equity or financial investment workflows.
- Additional certifications or experience in AI/ML development.
Culture & Benefits
- Collaborative work with investment and operations teams.
- Opportunity to develop practical AI capabilities for investment workflows.
- Equal employment opportunity and an inclusive workplace.
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