Panorama Education

Staff Engineer, Agentic Developer Platform

United States · Staff+

Sponsorship not specified$234k-$344kDetected 23 days ago

LLMsAgentic AIAI OrchestrationCompensationLeadership

About the role

Panorama 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.
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.

Responsibilities

Platform Architecture & AI Infrastructure 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.
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.
Agent & Skill Framework 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.
Adoption and Partnership 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.

Requirements

8+ years of professional software engineering experience, with meaningful depth in platform, infrastructure, or developer tooling.
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.
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.

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.

Skills

The work is greenfield.

Compensation

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.

Benefits

Partner with engineering leadership to align AI infrastructure with broader architectural direction and long-term system health.

Company info

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.

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This listing is sourced directly from Panorama Education's careers page and normalized into a canonical job model.