Forward Deployed Engineer

About your role

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.

What you’ll do

• 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 harnesses, and the observability and cost controls that keep them reliable in production
• Work hands-on across client-edge solutions, and partner with Juniper Square’s platform and product engineering teams where the work touches core systems
• Make engineering trade-offs that hold up under real client commitments, finding speed through reuse rather than through shortcuts on reliability, security, or maintainability
• Help operate deployed solutions through adoption, including post-launch support and iteration on user feedback
• Produce documentation, train users, and support rollouts to drive adoption

Qualifications

• 2+ years of professional experience shipping production software, with hands-on experience building AI-enabled applications
• Demonstrated ability to translate ambiguous business needs into requirements and deliver working software against them
• Full-stack engineering capability across data, services, user interfaces, and the infrastructure underneath them
• Working knowledge of a major cloud provider, containers, infrastructure as code, CI/CD, and production monitoring, with the comfort to deploy and debug your own work
• Comfort working directly with external clients or customers — you can be trusted in the room, not just behind the code
• Fluency with AI-assisted development, paired with the depth to understand, debug, and defend everything you ship
• Developing product judgment: defining scope for a first release, prioritizing, and knowing when something is done
• Excellent written communication across requirements, documentation, and client-facing updates, and the ability to explain technical concepts clearly to non-technical stakeholders

Nice to have

• Experience in private markets, financial services, or another regulated, data-sensitive domain
• Familiarity with application security and data handling practices for client data under contractual and SOC 2 obligations, including multi-tenant isolation
• Experience building evaluation and regression testing for non-deterministic systems
• Consulting, professional services, or forward-deployed engineering background