Data Engineer

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC; Ova (KY); On-site; USD 150,000 - 200,000; Full time

Job summary

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC is seeking an experienced Full Stack Software Engineer to build Carlyle’s next‑generation AI platform and intelligent investment applications. This hands‑on role designs architectures, agent frameworks, and APIs and focuses on a production‑ready live deal evaluation platform combining LLMs, ML, retrieval, and enterprise data.

You will collaborate with data scientists, investment professionals, and product stakeholders to deliver business‑critical

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
• 6+ years of experience as a Full Stack Software Engineer building production applications.
• Strong backend development experience with Python, TypeScript, Java, or Go.
• Experience building frontend applications with React, Next.js, Angular, or Vue.
• Experience designing RESTful APIs and distributed architectures.
• Experience integrating enterprise applications, APIs, databases, and services.
• Experience translating AI-generated prototypes into production-grade software.
• Git-based workflows and CI/CD practices.
• Hands-on experience with AI-assisted development tools.

Responsibilities

• Develop and maintain backend services and modern frontend applications.
• Design, build, and maintain RESTful APIs and distributed services.
• Design and implement production-ready LLM, retrieval, and ML workflows.
• Convert AI prototypes into production-ready software integrated with Carlyle's stack.
• Troubleshoot, optimize, and refactor code from AI tools to meet enterprise standards.
• Ensure production systems are scalable, secure, and performant.
• Apply software engineering best practices and modern development methodologies.
• Collaborate with data scientists, product managers, and AI engineers to deliver capabilities.
• Contribute to architectural decisions and engineering standards.

Skills

Python

TypeScript

Java

Go

React

RESTful APIs

Distributed systems

CI/CD

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

React/Next.js

Git

CI/CD tools

SQL/NoSQL databases

AWS/Azure/GCP

Job description

Position Summary

We are seeking an experienced Full Stack Software Engineer to build Carlyle’s next‑generation AI platform and intelligent investment applications. This is a highly hands‑on engineering role responsible for designing and developing the foundational architecture, agent frameworks, orchestration layers, and APIs. A key focus of the role will be the development of a live deal evaluation platform that surfaces investment insights, historical context, recommendations, and diligence findings by combining large language models (LLMs), machine learning, retrieval systems, and enterprise data. This position offers the opportunity to build greenfield AI capabilities that directly support investment decision‑making while partnering closely with data scientists, investment professionals, and product stakeholders.

Primary Responsibilities

• Develop and maintain backend services and modern frontend applications.
• Design, build, and maintain RESTful APIs and distributed application services.
• Design and implement production‑ready LLM, retrieval, and machine learning workflows.
• Convert AI‑generated prototypes into production‑ready applications integrated with Carlyle's core technology stack.
• Troubleshoot, optimize, and refactor code generated by AI development tools to meet enterprise quality standards.
• Ensure production systems are scalable, secure, performant, and maintainable.
• Apply software engineering best practices, clean architecture principles, and modern development methodologies.
• Utilize AI‑assisted development tools including Claude Code, Codex, Cursor, and similar technologies to improve engineering productivity.
• Collaborate closely with data scientists, product managers, and AI engineers to deliver business‑critical capabilities.
• Contribute to architectural decisions, technical standards, and engineering best practices.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline. Advanced degree preferred.
• 6+ years of experience as a Full Stack Software Engineer building production applications.
• Strong backend development experience using modern programming languages such as Python, TypeScript, Java, or Go.
• Experience developing modern frontend applications using frameworks such as React, Next.js, Angular, or Vue.
• Strong experience designing and building RESTful APIs and modern web architectures.
• Experience integrating enterprise applications, APIs, databases, and distributed services.
• Demonstrated experience translating AI‑generated prototypes into production‑grade software.
• Experience with Git‑based software development workflows and CI/CD practices.
• Hands‑on experience using AI‑assisted development tools such as Claude Code, Codex, Cursor, Lovable, or similar.
• Experience building scalable, secure, and high‑performing production systems.
• Experience building applications powered by LLMs, retrieval‑augmented generation (RAG), or agentic AI workflows.
• Experience developing agent frameworks, orchestration platforms, or Model Context Protocol (MCP)-enabled systems.
• Familiarity with vector databases, semantic search, embeddings, and retrieval systems.
• Experience with cloud platforms including AWS, Azure, or Google Cloud Platform.
• Experience building SaaS products or enterprise software platforms.
• Experience partnering with data scientists to deploy machine learning models and AI applications into production.

Competencies & Attributes

• Strong software engineering fundamentals and system design skills.
• Excellent problem‑solving and analytical abilities.
• Ability to rapidly prototype, iterate, and deliver production‑quality solutions.
• Strong communication and collaboration skills across technical and business teams.
• Comfortable working in a fast‑paced environment with evolving technologies.
• Passion for applying AI technologies to solve complex business problems.
• Ownership mindset with the ability to drive technical initiatives from design through production deployment.

Benefits / Compensation

The compensation range for this role is specific to New York 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 $150,000 to $200,000. In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance, 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.