Employer description & source details
Partner with internal stakeholders, from the executive team to business units such as sales, finance, HR, and marketing, to find the workflows where custom agents create real leverage Translate ambiguous business problems into clear requirements, scope, and acceptance criteria Carry each solution through its full lifecycle, from prototype and stakeholder 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 Design event-driven, scalable systems that ingest and process large volumes of data and documents Partner with Juniper Square's platform, R&D, and product engineering teams where the work touches core systems Make engineering trade-offs that hold up under real commitments, finding speed through reuse rather than through shortcuts on reliability, security, or maintainability Own deployed solutions through adoption, including post-launch support, iteration on user feedback, and ongoing operation Produce documentation, train users, and manage rollouts to drive adoption Set the technical bar for less experienced engineers on your projects, and grow toward leading projects of your own, including client-facing work as it develops 5+ years of professional experience shipping production software end to end, with hands-on experience building AI-native applications or agents Strong systems design skills: you can think out loud and whiteboard a real system, including components, trade-offs, and what you would change Full-stack engineering capability across data, services, user interfaces, and the infrastructure underneath them Hands-on infrastructure ownership: d
Extracted skills: sales, security, finance, operations