Full Stack Software Engineer, Data Science
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.
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.
Qualifications
Education & Certificates: Bachelor's degree, required. Concentration in Computer Science, Software Engineering, Information Systems, or a related technical discipline. Advanced degree preferred.
Professional Experience: 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 large language models (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.
Able 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 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.