{"schemaVersion":"jobsearcher.job.v1","id":"e8cf7dfbe6aec726496ea557","url":"https://jobsearcher.com/jobs/e8cf7dfbe6aec726496ea557","canonicalUrl":"https://jobsearcher.com/jobs/e8cf7dfbe6aec726496ea557","title":"Staff Engineer, Agentic Developer Platform","description":"About PanoramaPanorama Education is a technology company helping K-12 school systems understand what students need and take effective action. By connecting academics, attendance, behavior, and engagement data with AI, we give educators a complete picture of each student and the intelligence to decide what to do next. We work with 2,000 districts and reach 15 million students nationwide, nearly 1 in every 4 students in the US. This scale means that the products we build help shape what's possible for educators and for learners.About the RolePanorama is at an inflection point with AI - we've heavily invested in it across our products and seen incredible market traction and now we're turning towards how we can use AI to transform how the company itself operates. As a Staff Engineer, Agentic Developer Platform, you'll design and own a new internal AI platform: the agent framework, skill infrastructure, and shared systems that every team at Panorama builds on. The goal is making it possible for engineers, PMs, and operators across the company to go from idea to working AI-powered workflow through core infrastructure.The work is greenfield. You'll make early architectural decisions that others will build on, create the tooling that turns experiments into things teams can actually rely on, and stay close enough to how people use what you build to keep improving it.This role is for someone who thinks in platforms, gets energy from enabling others, and wants what they build to matter, both inside the company and for the 15 million students we serve.RequirementsWhat You'll Do: Platform Architecture & AI InfrastructureDesign 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 ofMake the foundational decisions that others will depend on, including model selection and abstraction, orchestration patterns, data access layers, and deployment standardsDesign the platform so teams can extend it on their own, without needing your involvement for every new use caseBuild the operational layer teams need to trust what they've deployed: logging, evals, cost tracking, latency monitoring, and feedback loopsAgent & Skill FrameworkDesign 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 areasDefine the interfaces, contracts, and composition patterns that let squads build new agents and skills confidently without reinventing core infrastructureEnsure the framework supports a range of complexities, from simple single-step automations to multi-agent workflows spanning systems and teamsAdoption and PartnershipHelp internal teams go from \"we have an idea\" to \"we have a working implementation\" by providing the technical scaffolding, guidance, and supportBuild the internal tooling, documentation, and onboarding paths that make the platform genuinely accessible to team members across the companyCreate abstractions that lower the floor for AI development without boxing in the complex casesAct as a technical partner to teams adopting the platform, helping them get unblocked, apply patterns correctly, and avoid pitfalls earlyPartner with Product to surface where AI capabilities can remove friction, accelerate workflows, or unlock things internal teams don't yet know are possibleMaintain a feedback loop with internal customers so the platform evolves around how people actually work, not how the roadmap assumed they wouldStandards, Governance & Technical DirectionDefine how the company evaluates, adopts, and evolves AI capabilities responsibly, establishing standards for safety, reliability, and quality that hold across teamsPartner with engineering leadership to align AI infrastructure with broader architectural direction and long-term system healthContribute to org-wide technical discussions, bringing a platform and infrastructure lens to decisions that affect how AI work gets done across the companyWhat We're Looking For: 8+ years of professional software engineering experience, with meaningful depth in platform, infrastructure, or developer toolingExperience building shared systems that other engineers build on, and an intuition for what makes internal platforms succeed or stallHands-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 confidentlyStrong instincts for API and abstraction design, knowing how to expose the right surface area and hide the right complexityFamiliarity with MCP or similar tool-use and integration patternsA track record of scoping and delivering greenfield technical work, including making early architectural decisions that hold up over timeCollaborative and transparent by default, with the ability to lead cross-functional alignment without formal authorityClear-eyed about the gap between AI that works in demos and AI that works in production, and experienced in closing itActively seeks out product and cross-functional context, energized by the opportunity to push the work forward across teams, not just within engineeringNice to Have: Experience with multi-agent orchestration frameworksBackground in internal developer platforms, enablement engineering, or technical program leadershipExperience in defining and rolling out engineering standards across a multi-team organizationBenefitsBase Salary: The base salary range for this position is $233,750 - $343,750 // Annually. Our salary is just one component of Panorama's competitive total rewards strategy that also includes annual bonuses or commission awards, equity awards, as well as other region-specific health and welfare benefits.US Only: 401K with an employer matchHealth, dental, vision, life insurance, and short-term and long-term disability coverage. Flexible spending account for health care and dependent careWellness ReimbursementWork from Home ReimbursementFlexible vacation policyParental leave programCompany Issued Laptop","company":"Panorama Education","rawCompany":"panorama education","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T13:11:42.699Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Engineer, Agentic Developer Platform","description":"About PanoramaPanorama Education is a technology company helping K-12 school systems understand what students need and take effective action. By connecting academics, attendance, behavior, and engagement data with AI, we give educators a complete picture of each student and the intelligence to decide what to do next. We work with 2,000 districts and reach 15 million students nationwide, nearly 1 in every 4 students in the US. This scale means that the products we build help shape what's possible for educators and for learners.About the RolePanorama is at an inflection point with AI - we've heavily invested in it across our products and seen incredible market traction and now we're turning towards how we can use AI to transform how the company itself operates. As a Staff Engineer, Agentic Developer Platform, you'll design and own a new internal AI platform: the agent framework, skill infrastructure, and shared systems that every team at Panorama builds on. The goal is making it possible for engineers, PMs, and operators across the company to go from idea to working AI-powered workflow through core infrastructure.The work is greenfield. You'll make early architectural decisions that others will build on, create the tooling that turns experiments into things teams can actually rely on, and stay close enough to how people use what you build to keep improving it.This role is for someone who thinks in platforms, gets energy from enabling others, and wants what they build to matter, both inside the company and for the 15 million students we serve.RequirementsWhat You'll Do: Platform Architecture & AI InfrastructureDesign 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 ofMake the foundational decisions that others will depend on, including model selection and abstraction, orchestration patterns, data access layers, and deployment standardsDesign the platform so teams can extend it on their own, without needing your involvement for every new use caseBuild the operational layer teams need to trust what they've deployed: logging, evals, cost tracking, latency monitoring, and feedback loopsAgent & Skill FrameworkDesign 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 areasDefine the interfaces, contracts, and composition patterns that let squads build new agents and skills confidently without reinventing core infrastructureEnsure the framework supports a range of complexities, from simple single-step automations to multi-agent workflows spanning systems and teamsAdoption and PartnershipHelp internal teams go from \"we have an idea\" to \"we have a working implementation\" by providing the technical scaffolding, guidance, and supportBuild the internal tooling, documentation, and onboarding paths that make the platform genuinely accessible to team members across the companyCreate abstractions that lower the floor for AI development without boxing in the complex casesAct as a technical partner to teams adopting the platform, helping them get unblocked, apply patterns correctly, and avoid pitfalls earlyPartner with Product to surface where AI capabilities can remove friction, accelerate workflows, or unlock things internal teams don't yet know are possibleMaintain a feedback loop with internal customers so the platform evolves around how people actually work, not how the roadmap assumed they wouldStandards, Governance & Technical DirectionDefine how the company evaluates, adopts, and evolves AI capabilities responsibly, establishing standards for safety, reliability, and quality that hold across teamsPartner with engineering leadership to align AI infrastructure with broader architectural direction and long-term system healthContribute to org-wide technical discussions, bringing a platform and infrastructure lens to decisions that affect how AI work gets done across the companyWhat We're Looking For: 8+ years of professional software engineering experience, with meaningful depth in platform, infrastructure, or developer toolingExperience building shared systems that other engineers build on, and an intuition for what makes internal platforms succeed or stallHands-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 confidentlyStrong instincts for API and abstraction design, knowing how to expose the right surface area and hide the right complexityFamiliarity with MCP or similar tool-use and integration patternsA track record of scoping and delivering greenfield technical work, including making early architectural decisions that hold up over timeCollaborative and transparent by default, with the ability to lead cross-functional alignment without formal authorityClear-eyed about the gap between AI that works in demos and AI that works in production, and experienced in closing itActively seeks out product and cross-functional context, energized by the opportunity to push the work forward across teams, not just within engineeringNice to Have: Experience with multi-agent orchestration frameworksBackground in internal developer platforms, enablement engineering, or technical program leadershipExperience in defining and rolling out engineering standards across a multi-team organizationBenefitsBase Salary: The base salary range for this position is $233,750 - $343,750 // Annually. 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