Staff Engineer, Agentic Developer Platform

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $233.8k - $343.8k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

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Panorama Education

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

📚 Education

☁️ SaaS

🤖 Artificial Intelligence

💰 $60M Series C - Panorama Education on 2021-09

Education • SaaS • Artificial Intelligence

Panorama Education is an education technology company that provides an AI-powered SaaS platform for K–12 school districts to collect surveys, manage Multi-Tiered System of Supports (MTSS), track behavior and attendance, and personalize instruction and interventions. Its offerings—like Panorama Solara, Student Success (MTSS), and Surveys & Engagement—combine data analytics, secure district-managed AI, and professional development to help educators identify needs, plan targeted actions, and measure student outcomes while maintaining privacy and compliance.

📋 Description

• Design and own the company's core AI infrastructure: the shared systems, integration patterns, and runtime environments that all AI-powered work is built on top of. • Make the foundational decisions that others will depend on, including model selection and abstraction, orchestration patterns, data access layers, and deployment standards. • Design the platform so teams can extend it on their own, without needing your involvement for every new use case. • Build the operational layer teams need to trust what they've deployed: logging, evals, cost tracking, latency monitoring, and feedback loops. • Design and build the company's agent framework and skill library, the reusable building blocks that teams reach for when automating workflows, connecting systems, or extending AI capabilities into new areas. • Define the interfaces, contracts, and composition patterns that let squads build new agents and skills confidently without reinventing core infrastructure. • Ensure the framework supports a range of complexities, from simple single-step automations to multi-agent workflows spanning systems and teams. • Help internal teams go from 'we have an idea' to 'we have a working implementation' by providing the technical scaffolding, guidance, and support. • Build the internal tooling, documentation, and onboarding paths that make the platform genuinely accessible to team members across the company. • Create abstractions that lower the floor for AI development without boxing in the complex cases. • Act as a technical partner to teams adopting the platform, helping them get unblocked, apply patterns correctly, and avoid pitfalls early. • Partner with Product to surface where AI capabilities can remove friction, accelerate workflows, or unlock things internal teams don't yet know are possible. • Maintain a feedback loop with internal customers so the platform evolves around how people actually work, not how the roadmap assumed they would. • Define how the company evaluates, adopts, and evolves AI capabilities responsibly, establishing standards for safety, reliability, and quality that hold across teams. • Partner with engineering leadership to align AI infrastructure with broader architectural direction and long-term system health. • Contribute to org-wide technical discussions, bringing a platform and infrastructure lens to decisions that affect how AI work gets done across the company.

🎯 Requirements

• 8+ years of professional software engineering experience, with meaningful depth in platform, infrastructure, or developer tooling. • Experience building shared systems that other engineers build on, and an intuition for what makes internal platforms succeed or stall. • Hands-on experience with production AI systems (LLM integrations, tool-using agents, retrieval pipelines, or comparable work), and a track record of enabling other builders to work with those systems confidently. • Strong instincts for API and abstraction design, knowing how to expose the right surface area and hide the right complexity. • Familiarity with MCP or similar tool-use and integration patterns. • A track record of scoping and delivering greenfield technical work, including making early architectural decisions that hold up over time. • Collaborative and transparent by default, with the ability to lead cross-functional alignment without formal authority. • Clear-eyed about the gap between AI that works in demos and AI that works in production, and experienced in closing it. • Actively seeks out product and cross-functional context, energized by the opportunity to push the work forward across teams, not just within engineering. • Nice to Have: Experience with multi-agent orchestration frameworks. • Background in internal developer platforms, enablement engineering, or technical program leadership. • Experience in defining and rolling out engineering standards across a multi-team organization.

🏖️ Benefits

• 401K with an employer match • Health, dental, vision, life insurance, and short-term and long-term disability coverage. • Flexible spending account for health care and dependent care • Wellness Reimbursement • Work from Home Reimbursement • Flexible vacation policy • Parental leave program • Company Issued Laptop