Software Engineer, AI Systems & Infrastructure - AI… at Planet · San…

Summary: Planet is a company focused on using space to help life on Earth by operating the largest constellation of imaging satellites. They are seeking a Software Engineer to build backend systems for an AI Geospatial Assistant, responsible for delivering high-throughput services and ensuring reliable workflows. Responsibilities: - 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 Required Qualifications: - 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 Preferred Qualifications: - Experience with distributed computing frameworks like Docker, Kubernetes, or Ray Serve - A track record of applying scientific rigor to 'ground truth' verification in AI models to maintain user trust and credibility Required Skills: Python, AWS, GCP, LLM orchestration Important Skills: Infrastructure as Code, CI/CD pipelines, Distributed computing Benefits: Comprehensive Medical, Dental, and Vision plans, Health Savings Account (HSA) with a company contribution, Generous Paid Time Off in addition to holidays and company-wide days off, 16 Weeks of Paid Parental Leave, Wellness Program and Employee Assistance Program (EAP), Home Office Reimbursement, Monthly Phone and Internet Reimbursement, Tuition Reimbursement and access to LinkedIn Learning, Equity, Commuter Benefits (if local to an office), Volunteering Paid Time Off