Note: The job is a remote job and is open to candidates in USA. Panorama Education is a technology company helping K-12 school systems understand what students need and take effective action. As a Staff Engineer, Agentic Developer Platform, you will design and own a new internal AI platform that will enable teams to create AI-powered workflows efficiently. This role involves making foundational architectural decisions and building the infrastructure to support various AI capabilities across the company.
Responsibilities
- 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
Skills
- 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
- 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
- Annual bonuses or commission awards
- Equity awards
- 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
Company Overview
Company H1B Sponsorship