Senior Software Engineer, AI Platform

junipersquare; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Juniper Square seeks a Senior Software Engineer for the AI Platform team. You are a hands-on contributor who designs, builds, and operates production systems powering core workflows for institutional clients.

You will work with staff engineers, product, design, and QA to ship reliable, well-designed systems. You will use AI-assisted development and help raise engineering standards across the org.

Responsibilities

• Design, build, and ship production-quality systems, APIs, and services across the AI Platform.
• Own projects end-to-end from requirements through deployment and iteration.
• Build reliable, scalable, observable systems and maintain production health.
• Collaborate with product, design, QA, and other engineers to raise standards.
• Participate in code reviews, debugging, incident response, and automation efforts.

Job description

About Juniper Square

Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We're the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we've built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we're reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we're building a company designed to shape the future of private markets for decades to come.

Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you're energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us!

Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.

About your role

As a Senior Software Engineer at Juniper Square, you're a hands-on individual contributor who designs, builds, and operates production systems powering core workflows for institutional financial clients. You bring deep technical expertise to your team, drive complex projects independently, and collaborate closely with Staff engineers, product, design, and QA to ship reliable, well-designed systems.

You'll join the AI Platform team, building the foundational infrastructure layer that powers all AI work at Juniper Square, both customer-facing (GPX) and internal automation. Every AI initiative at JSQ runs on top of this platform, spanning AI Gateway & Infrastructure, Governance & Security, Retrieval & Data Access, and Agent Framework.

What you'll do

Build & Operate Production Systems

• Design, build, and ship production-quality systems, APIs, and services - from foundational platform capabilities to customer-facing product experiences
• Own projects end-to-end: translating requirements into technical designs, implementation, testing, deployment, and ongoing iteration
• Build reliable, scalable, and observable systems that deliver value to customers and enable other engineering teams to move faster
• Own the production health of the systems you build, including monitoring, troubleshooting, performance, reliability, and issue resolution
• Build reusable infrastructure, frameworks, tooling, and developer experiences that enable teams across the organization
• Improve engineering velocity and operational quality through automation, documentation, and continuous improvements

Drive Technical Excellence

• Contribute to technical design for complex projects, evaluating tradeoffs and proposing pragmatic implementation plans
• Partner with product, design, and engineering to translate requirements into well-designed technical solutions
• Help identify and reduce technical debt, reliability risks, and friction in the software development lifecycle
• Collaborate with Staff and senior engineers to establish reusable patterns and raise engineering standards
• Participate in code reviews, design reviews, debugging, incident response, and operational support

AI Fluency & AI-Native SDLC

• Use agentic coding tools and AI-assisted development as a primary part of your workflow, deliberately choosing where AI versus traditional software is the right tool
• Critically evaluate AI-generated code for correctness, edge cases, and regressions, shipping quality output regardless of how it was produced
• Build or integrate AI/LLM-powered capabilities in your domain where they add real value (e.g., evaluation frameworks, RAG pipelines, agentic workflows), with clear human-in-the-loop boundaries
• Contribute to the team's evolving practices around AI-accelerated development, testing, and code review

Collaborate Cross-Functionally

• Work closely with product, design, QA, and cross-functional partners to meet timelines and align solutions to business goals
• Provide clear, accessible technical context to both technical and non-technical stakeholders

Domain Expertise

Grow into a subject-ma