Forward Deployed Product Engineer, Global Private Equity Technology

Requirements

• Education & Certificates
• Bachelor’s degree, required.
• Concentration in computer science, engineering, or a related quantitative field, preferred.
• Professional Experience
• Minimum of 2 years of overall relevant experience, required.
• Experience in software engineering, required.
• Hands-on experience building applications using Python, required.
• Experience working with relational databases and SQL; exposure to enterprise data platforms (e.g., Snowflake, Databricks, PostgreSQL), preferred.
• Frontend development experience with React and/or Next.js, preferred.
• Experience building within an agentic harness — multi-step, tool-using agents with defined scaffolding, orchestration, evaluation, and guardrails — preferred.
• Experience with document intelligence, including extracting structured data from unstructured source documents (e.g., OCR, layout parsing, and LLM-based extraction from PDFs, agreements, and financial reporting), preferred.
• Experience working directly with business users to gather requirements and deliver working software, preferred.
• Prior experience in alternative asset management, private equity, financial services, or startup environment preferred.
• Competencies & Attributes
• Full-stack application development (Python; React / Next.js).
• API design and integration across systems and data sources.
• MCP design and integration across systems and data sources.
• Relational databases, SQL, and data pipeline development.
• Applied AI and LLM integration (RAG, prompt design, agentic workflows).
• Curiosity about the business problem behind the request, and comfort asking questions of business users directly.
• Strong written and verbal communication with both technical and non-technical audiences.
• Ability to take a defined problem from ambiguity to a working solution with appropriate guidance, and to raise blockers early.
• Commitment to continuous learning in a fast-moving technical and product environment.
• Benefits/Compensation
• The compensation range for this role is specific to Washington, DC and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
• The anticipated base salary range for this role is $130,000 to $140,000.
• In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
• Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by The Carlyle Group.

Who We Are

Preferred Qualifications

• Concentration in computer science, engineering, or a related quantitative field, preferred.
• Experience working with relational databases and SQL; exposure to enterprise data platforms (e.g., Snowflake, Databricks, PostgreSQL), preferred.
• Frontend development experience with React and/or Next.js, preferred.
• Experience building within an agentic harness — multi-step, tool-using agents with defined scaffolding, orchestration, evaluation, and guardrails — preferred.
• Experience with document intelligence, including extracting structured data from unstructured source documents (e.g., OCR, layout parsing, and LLM-based extraction from PDFs, agreements, and financial reporting), preferred.
• Experience working directly with business users to gather requirements and deliver working software, preferred.
• Prior experience in alternative asset management, private equity, financial services, or startup environment preferred.
• The compensation range for this role is specific to Washington, DC and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.