Set the technical direction for AI systems - including shared AI SDKs, guardrails, evaluation frameworks, feedback systems, and agentic workflow infrastructure
Own architecture and technical strategy for complex backend and AI platform systems, from design through production
Lead technical design for ambiguous, cross-functional initiatives - evaluating tradeoffs, aligning stakeholders, and driving implementation
Evaluate and select technologies with a bias toward what ships well and scales sustainably
Build and Operate AI Systems
Write production code as a hands-on individual contributor - this is not a role that delegates implementation to others
Design and operate LLM-powered systems: RAG pipelines, agentic workflows, evaluation infrastructure, guardrails, and model observability
Own end-to-end reliability of AI systems from design through structured output delivery
Define quality benchmarks, evaluation frameworks, and feedback loops to continuously improve AI output accuracy and system reliability
Champion AI-Native Development
Champion and embed AI-native development practices and tools (e.g., Cursor, Augment) to achieve significant productivity gains across the team
Foster a culture of rapid iteration, high velocity, and quality - including guiding the effective use of AI code generation
Bring strong, informed opinions about how to get the most from AI-assisted development while maintaining reliability and correctness
Lead and Grow the Team
Mentor engineers, raise the quality of technical decision-making, and help the team execute with consistency
Establish coding standards, review practices, and architectural documentation that scale as the team grows
Help define what "good" looks like for a team building at speed without sacrificing quality
Partner with recruiting to build and grow the team
Collaborate Cross-Functionally
Work closely with engineering managers, product, design, and QA to translate requirements into executable technical plans
Participate actively in design reviews and roadmap discussions with grounded, implementation-level perspective
Handle most cross-team conflicts and technical decisions autonomously
Requirements
Required
7+ years of backend and/or ML engineering experience with a trajectory of increasing technical leadership, architectural responsibility, and mentorship
A portfolio of shipped production systems - we will ask you to walk through specific technical decis
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 Staff Software Engineers to join our AI-native engineering team. At the Staff level, you are a technical leader - setting technical direction, driving architectural decisions, and raising engineering quality across your team. You will own the strategy and hands-on delivery of AI systems that power core product experiences for institutional financial clients, spanning AI platform infrastructure, agentic workflows, and LLM-powered features. This is a player-coach role for engineers who lead through code and architecture, not just direction.
Junipersquare · Americas (usa OR Canada)