Software Engineer

Planet•San Francisco, CA

3d•Hybrid

About The Position

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: At Planet Labs, we deliver daily global satellite imagery and geospatial insights that empower businesses, governments, and researchers worldwide. The Corporate Engineering team is building a world-class center of excellence driving AI strategy, enablement, adoption, and business partnership across the Planet organization. We are scaling AI capabilities to transform internal workflows, enhance engineering velocity, and create groundbreaking software experiences. We are seeking an experienced Software Engineer – Enterprise AI to lead the hands-on deployment of enterprise-grade AI applications, custom agentic workflows, and foundational AI infrastructure (AI Gateway & Agent Registry) while ensuring strict alignment with regulatory compliance standards. This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.

Requirements

6+ years of software engineering experience
Bachelor's degree in Computer Science, Software Engineering, or equivalent
Hands-on experience developing and deploying applications using GCP and AWS ecosystem
Learning mindset with the ability to adapt to constant change
Experience working in regulated engineering environments requiring strict compliance standards (ITAR, EAR, or FedRAMP)
Expertise in GCP and AWS
Experience with AI Gateways, Agent Registries, and AI orchestration platforms
Expertise with Python, Vector Databases, and SQL

Nice To Haves

Prior experience with Gemini Enterprise App and Claude
Code / Cowork is a huge plus

Responsibilities

Design, build, and maintain production-ready Enterprise AI applications and internal tools leveraging Gemini Enterprise Agent Platform, Cursor, and Claude.
Partner to build end-to-end intelligent agent experiences, and automate complex business workflows in partnership with internal business units.
Support the evaluation, customization, and integration of platforms like Google Gemini Enterprise App.
Maintain a centralized AI Gateway to manage LLM API routing, rate limiting, cost controls, and model selection across all internal teams.
Integrate an AI Agent Registry to catalogue, govern, and monitor agents across the company.
Implement robust logging, monitoring, and alerting frameworks to ensure all AI touchpoints are accurately tracked and managed.
Manage specific AI data pipelines and infrastructure to adhere to ITAR and EAR standards.
Collaborate with Security and Legal teams to institute strict data access controls, secret management, and compliance checks for all AI integrations and development.
Promote industry best practices for AI engineering.
Evangelize AI tools and capabilities across non-technical and technical business units to accelerate enterprise adoption and productivity.