Senior Software Engineer

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.

What you'll do

Build and Operate AI Systems

• 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

Qualifications

Required

• 7+ 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); demonstrated ability to embed AI-driven practices to accelerate velocity and code quality

• Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases

Preferred

• Experience with document processing pipelines, structured extraction from unstructured documents, or vector stores

• Familiarity with evaluation frameworks for LLM output quality (e.g., RAGAS, custom evals, human-in-the-loop review)

• Background in financial services or fintech

Compensation

Compensation for this position includes a base salary, equity, and a variety of benefits. The U.S. base salary range for this role is $185,000 - $225,000 USD and the Canadian base salary range is $160,000 - $205,000 CAD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

Benefits include:

• Health, dental, and vision care for you and your family

• Life insurance

• Mental wellness coverage

• Fertility and growing family support

• Flex Time Off in addition to company-paid holidays

• Paid family leave, medical leave, and bereavement leave policies

• Retirement saving plans

• Allowance to customize your work and technology setup at home

• Annual professional development stipend

Your recruiter can provide additional details about compensation and benefits.