Design, build, and ship production-quality backend services, APIs, and AI platform components used across multiple engineering teams
Build and integrate LLM-powered systems such as RAG pipelines, AI SDKs, evaluation workflows, guardrails, prompt/tool orchestration, and model observability
Improve the reliability, scalability, observability, and operational quality of production AI systems
Build internal tools, frameworks, automation, and documentation that improve developer productivity and AI capabilities
Participate in code reviews, design reviews, debugging, incident response, and operational support
Drive Technical Excellence
Contribute to technical design for complex projects, including evaluating tradeoffs and proposing pragmatic implementation plans
Partner with product, design, and engineering teams to translate platform needs 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
Build with AI-Native Practices
Use agentic coding tools and LLM-assisted development as a primary part of your workflow - this is how the entire team operates
Critically evaluate AI-generated code for correctness, edge cases, and regressions - shipping quality output regardless of how it was produced
Contribute to the team's evolving practices around AI-accelerated development and testing
Requirements
Required
5+ years of experience designing, building, and operating production software systems
Strong backend engineering experience with Python frameworks such as FastAPI, Flask, or Django
Experience building or integrating AI/LLM-powered systems in production - such as RAG pipelines, AI SDKs, evaluation workflows, guardrails, or agentic workflows
Experience with relational/NoSQL databases, including schema design, query optimization, and data modeling
Experience with cloud-native technologies such as AWS, Docker, and Kubernetes
Strong understanding of CI/CD, observability, and operating services in production
Ability to break down complex technical problems and deliver pragmatic, maintainable solutions
Strong ownership mindset, with the ability to drive projects independently while collaborating effectively
Clear communication skills and the ability to explain technical tradeoffs to engineering and cross-functional partners
Hands-on experience with AI-native development tools (e.g., Cursor, Augment); demonstra
Benefits
Remote work options
Additional Information
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
We're hiring Senior Software Engineers to join our AI-native engineering team. You'll design, build, and operate production AI systems - including AI platform capabilities, agentic workflow infrastructure, and LLM-powered features that serve institutional financial clients. This is a hands-on individual contributor role for engineers who are deeply fluent in AI-native development and want to work at the intersection of applied AI and backend systems engineering.
Junipersquare · Americas (usa OR Canada)