Full Stack Software Engineer

(This role is US based remote and all candidates must be able to work in the US now and in the future without restriction) 

What we believe

Technology is no longer just an enabler of business strategy. It is the business strategy. And with AI reshaping how companies operate, compete and grow — while rapidly accelerating the pace of change — the stakes have never been higher.

Our role

We’re focused on helping private equity investors and portfolio company leaders drive value creation through technology. In a world where investors deploy trillions annually into software and tech-enabled businesses, we're the team that makes sure the underlying technology actually delivers.

Our approach

The expert judgment of our experienced practitioners is complemented by proven frameworks, tech-enabled solutions, and objective data to help organizations navigate critical technology decisions across diligence, transformation, growth, cybersecurity, AI, and operational execution.

What we value

Everything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity.

If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in. 

Role Overview

We are seeking a Full Stack Engineer with strong experience across both frontend and backend development. This role is ideal for engineers who treat AI as a first-class capability in both product features and day-to-day engineering workflows.

This role is perfect for passionate techies who have a desire to learn while working on building the most innovative new products & feature development projects, across a variety of clients in different industries. 
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Key Responsibilities
Design and build end-to-end features across frontend and backend systems

Develop scalable, maintainable, and secure software architectures

Implement AI-powered features using LLMs, embeddings, agents, or ML services

Use AI productivity tools to accelerate development, testing, and documentation

Collaborate with product, design, and platform teams

Participate in code reviews and contribute to engineering best practices

Required Qualifications
4+ years of professional software development experience

Undergraduate degree in Engineering (Computer Science preferred)

Balanced experience in frontend and backend development

Strong understanding of scalable system architecture

Hands-on experience building and deploying production systems

Practical experience with AI-enabled development

Preferred Qualifications

Experience in tech-focused, engineering-driven companies

Experience with distributed systems or cloud-native architectures

Prior work on AI-first or data-intensive products

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