Forward Deployed Engineer, Applied AI

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.

Applied AI is Juniper Square’s forward-deployed engineering unit. We design, build, and manage custom AI agents that solve hard operational problems for private markets GPs — running on Juniper Square’s AI infrastructure and integrated with the systems our clients already use. Because we sit on the system of record for the category, we can ship in weeks what otherwise takes years.

We are hiring Forward Deployed Engineers to work directly with GP clients alongside a senior engineer who leads the engagement, contributing across the full delivery lifecycle — discovery, scoping, design, build, deployment, and the ongoing operation of what you ship. You are in the room with the client, not behind a ticket queue.

This is an AI-first engineering role. The solutions you build are powered by modern AI, and you will work at the leverage AI-assisted development makes possible — while understanding in depth every system you ship.

The work combines product management and full-stack engineering, and calls for someone who can own their piece of the work independently while being supported by a world-class team of engineers. Working from the priorities set with the engagement lead and the client, you will contribute to discovery, help define requirements, and make the trade-offs that get working software into users’ hands quickly.

Success is measured by adoption and impact. You own what you build through launch and beyond, iterating on real user feedback and contributing the patterns you develop back to Applied AI’s reusable component library. This role is built to grow into leading engagements of your own.

• Work with GP clients — CFOs, COOs, heads of technology, investor relations leads, and the fund accountants, IR associates, and deal teams who will use what you build — to find the workflows where custom agents create real leverage

• Support discovery and help translate ambiguous business problems into clear requirements, scope, and acceptance criteria

• Carry the components you own through their full lifecycle, from prototype and client validation through hardening, deployment, and rollout to production

• Design and build agentic systems: retrieval and context design, tool and MCP integration, orchestration, evaluation…