8 дней назад
Forward Deployed Product Engineer (AI)
210 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Product Engineer (AI) (Python/React/LLM): Building and scaling full-stack applications, data pipelines, and AI-enabled workflows for Carlyle’s Global Private Equity platform with an accent on embedded product delivery, enterprise data integration, and governed LLM capabilities. Focus on designing production-grade RAG and agentic systems, connecting proprietary data securely, and driving adoption with investment and fund management users.
Location: Washington, DC; in-office 4 days per week
Base salary: $210,000–$220,000 per year, plus benefits and potential annual discretionary incentive compensation.
Company
is a global investment firm operating across private markets, including Global Private Equity.
What you will do
- Own business-critical Global Private Equity applications from discovery and design through implementation, deployment, adoption, and support.
- Build full-stack applications with Python, React, and Next.js, including APIs, services, and data pipelines.
- Integrate enterprise data from Snowflake, third-party market and portfolio data providers, and internal systems.
- Develop LLM copilots, intelligent automation, RAG pipelines, and agentic workflows for the investment lifecycle.
- Work directly with Deal Teams and Fund Management to identify high-value problems, prototype solutions, and measure business impact.
- Set technical direction, mentor engineers, review designs and code, and guide onshore and offshore delivery teams.
Requirements
- Bachelor’s degree required; computer science, engineering, or a related quantitative concentration preferred.
- At least 10 years of relevant software engineering experience with increasing technical scope and ownership.
- Production experience with Python, enterprise data platforms and databases such as Snowflake, Databricks, PostgreSQL, or MS SQL.
- Frontend development experience with React and/or Next.js, plus API design, service-oriented architecture, and data pipeline development.
- Experience building or integrating production AI applications using LLMs, RAG pipelines, and orchestration frameworks such as LangChain or LlamaIndex.
- Strong product judgment, executive communication, technical leadership, and experience working directly with business users.
Nice to have
- Experience with AWS Bedrock or Anthropic Claude.
- Experience in alternative asset management, private equity, or financial services.
- Experience with embedded or forward-deployed delivery models and coordinating onshore and offshore teams.
- Master’s degree.
Culture & Benefits
- Hands-on collaboration with investment professionals and senior technology and business stakeholders.
- Retirement benefits, health insurance, life insurance, and disability coverage.
- Paid time off and paid holidays.
- Family planning benefits and wellness programs.
- Potential eligibility for an annual discretionary incentive program based on individual and organizational performance.
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