Software Engineer, Planet

• Bachelor’s Degree in computer science or an equivalent field
• 4+ years of experience building and scaling high-performance backend systems in Python, Go
• Proficiency in AWS or GCP, including experience with Infrastructure as Code (Terraform) and CI/CD pipelines for high-availability services
• Solid familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) from an implementation perspective—knowing how to build reliable agents, handle retries, and manage state
• Proficiency with vector search pipelines and high-performance distributed computing

Desirable

• As a Software Engineer, you will help to build the backend systems that bring our AI Geospatial Assistant to life. While our research teams develop the core models, you will be responsible for the 'last mile' of delivery, architecting the high-throughput backend services, scaling our systems, and ensuring our agentic workflows are fast, reliable, and cost-effective at a global scale
• Develop and optimize multimodal LLM applications
• Work with and support the infrastructure needed for scaling and delivering embeddings
• Architect AI Orchestration: Build and maintain the high-scale systems required for LLM orchestration and agentic workflows, ensuring low-latency responses across petabytes of imagery
• Operationalize Research: Collaborate with backend engineers to transition experimental AI models into stable, low-latency production inference endpoints
• Build AI Observability: Implement production-grade monitoring, logging, and tracing for our AI services to ensure reliability and facilitate rapid debugging of our systems
• Benchmark Performance: Define model success criteria and instrumentation to ensure the assistant consistently outperforms vanilla LLM alternatives

• Application Deadline: June 4, 2026 at 11:59pm PT