Forward Deployed Product Engineer, Global Private Equity Technology

The Carlyle Group; Washington (District of Columbia); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Comprehensive benefits

Discretionary incentive program

Retirement benefits

Job summary

The Carlyle Group in Washington, DC is seeking a Forward Deployed Product Engineer, Global Private Equity Technology. This hands-on role builds business-critical applications and AI-enabled capabilities for the GPE platform, partnering with Deal Teams and Fund Management to deliver automation and measurable value.

The Senior Analyst owns features end-to-end—from backend services to modern frontends and data pipelines—while aligning with engineering standards and governance.

Qualifications

• Concentration in computer science, engineering, or a related quantitative field.
• Minimum of 2 years of relevant software engineering experience.
• Hands-on experience building applications with Python.
• Experience with relational databases and SQL; exposure to enterprise data platforms.
• Frontend development with React/Next.js is preferred.
• Experience with AI/LLM integration (RAG, agentic workflows) is preferred.

Responsibilities

• Build and maintain features of GPE applications from design through deployment.
• Develop full-stack functionality using Python on the backend and React/Next.js on the frontend.
• Create APIs, services, and data pipelines connecting Snowflake, data providers, and internal systems.
• Prototype with real data and productionize successful approaches.
• Ensure code quality, performance, security, and maintainability.
• Collaborate with Deal Teams, Fund Management, and the GPE organization.
• Implement AI-enabled workflows and governance in line with standards.

Skills

Python

React/Next.js

SQL

API design

Data pipelines

LLM integration

RAG workflows

Stakeholder collaboration

Education

CS or related field

Tools

Snowflake

Databricks

PostgreSQL

Job description

The Carlyle Group (NASDAQ: CG) is a global investment firm with $485 billion of assets under management, across 678 investment vehicles as of June 30, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia.

Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has deep expertise across industries, markets, and geographies.

At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, \"To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives.\" Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.

Position Summary

The Forward Deployed Product Engineer, Global Private Equity Technology is a hands‑on engineering role responsible for building the business‑critical applications and applied-AI capabilities that power Carlyle's Global Private Equity (GPE) platform. The Senior Analyst works closely with stakeholders across the private equity business - including Deal Teams, Fund Management, and the broader GPE organization - to build solutions that deliver automation wins and drive measurable value in how deals are sourced, diligence, executed, monitored, and grown.

This is a builder's role. The Senior Analyst owns defined features and components end-to-end - across backend services, modern frontends, data pipelines, and LLM-based workflows - working within the technical direction and engineering standards set by senior members of the GPE Product and Engineering organization. The ideal candidate pairs strong technical execution with developing product judgment, is comfortable working directly with business users, and is energized by turning Carlyle's proprietary data and domain expertise into workflow-native capabilities.

Unlike a traditional application engineer, the Senior Analyst is measured by business outcomes rather than tickets closed: understanding the problem behind the request, prototyping quickly against real data, hardening what works into production, and supporting adoption with the investment professionals who use it.

Primary Responsibilities

Application Development & Delivery (45%)

• Build and maintain features and components of business-critical GPE applications - from design through implementation, deployment, and ongoing support.
• Develop full‑stack functionality using Python on the backend and React / Next.js on the frontend.
• Build APIs, services, and data pipelines that connect GPE's enterprise data platform (Snowflake), third‑party market and portfolio data (e.g., Chronograph, FactSet, PitchBook), and internal systems.
• Prototype quickly against real data to validate use cases, then work with senior engineers to harden what works into secure, production‑grade software.
• Meet the team's standards for code quality, performance, security, and maintainability.

Stakeholder Partnership & Solution Discovery (20%)

• Work closely with stakeholders across the private equity business - Deal Teams, Fund Management, and the broader GPE organization - to learn their workflows and identify automation opportunities worth building.
• Translate business requests into clear technical requirements and shippable deliverables, with guidance from senior engineers and product management on scope and sequencing.
• Support adoption through demos, hands‑on user enablement, clear documentation, and responsive follow‑up on user feedback.
• Track usage and business impact of delivered solutions, and share what the data shows with the team and its stakeholders.
• Build AI‑enabled functionality - LLM‑assisted workflows, intelligent automation, and agentic components - where it delivers clear, measurable value across the investment lifecycle.
• Implement retrieval‑augmented generation (RAG) pipelines, Knowledge Graph implementations, and broader LLM‑based workflows using modern orchestration frameworks (and enterprise LLM platforms (e.g., AWS Bedrock, Anthropic Claude, OpenAI Codex).
• Apply established patterns for connecting LLMs to proprietary data (e.g., Snowflake accessed via MCP or equivalent) so that solutions remain permissioned, governed, and production‑ready.
• Partner with data, platform, and engineering teams to move applied‑AI capabilities from proof‑of‑concept into production.

Engineering Craft & Collaboration (10%)

• Apply the architectural patterns, reusable components, and engineering standards set by the GPE Product and Engineering organization.
• Participate actively in code review, giving and receiving feedback that raises the quality of what the team ships.
• Collaborate and communicate with the team to complete shared deliverables.
• Contribute clear technical documentation so that work is transparent, supportable, and reusable across Carlyle Technology.

Governance & Communication (5%)

• Ensure all solutions comply with Carlyle's AI governance, data privacy, and information security standards.
• Communicate delivery status, blockers, and technical trade‑offs clearly to the team and to business stakeholders.

Requirements

Education & Certificates

• 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.
• 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.

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.