Senior/Staff Software Engineer (AI Insights)

• We’re hiring for a Senior or Staff Software Engineer to help lead our agile, fast-moving backend teams
• In this role, you’ll design and build scalable agentic systems, backend services and data-processing workflows that transform complex, unstructured customer data into reliable, structured outputs
• You’ll help shape the architecture of our APIs, databases, cloud infrastructure, and LLM-powered and agentic systems while improving their reliability, observability, and performance
• Working closely with engineering, product, and customer-facing teams, you’ll translate ambiguous business needs into clear technical direction and lead foundational decisions that scale with the company
• This is a high-impact opportunity to shape the company’s technical strategy and make foundational decisions that will scale with us
• Architect and operate multi-step, tool-using agentic pipelines that convert unstructured data into reliable structured output
• Build evaluation frameworks, golden datasets, and feedback loops that measure quality and catch regressions
• Improve model performance through prompt and pipeline optimization, model selection, and fine-tuning where it pays off
• Own the reliability of cloud-native services: deployment, observability, scalability, and on-call support
• Mentor engineers and lead cross-team technical initiatives from design through production

Benefits

• Employee stock option program
• Health Savings Account (HSA)
• Unlimited paid time off (PTO)
• Relocation support
• Commuter benefits
• Comprehensive healthcare coverage (100% of employee premiums covered and 70% for dependents)
• 12 weeks of paid parental leave (birthing parents)
• Daily lunch credit when you’re in the office (around $20/day)
• 401(k) plan with optional supplemental life, disability, and more

• Experience designing distributed systems, asynchronous workflows, and reliable data-processing services
• 5+ years building and operating production backend or data-intensive systems
• Experience measuring and improving model quality, through evals, prompting, fine-tuning, or a mix
• Production experience with LLM systems, including multi-step, tool-using, or agentic workflows
• Working knowledge of data warehousing, ideally applied to versioned datasets, lineage, or feedback capture
• Experience running containerized applications on a major cloud platform ([AWS/GCP/Azure])
• Fine-tuning or distillation experience (SFT, LoRA, or provider tuning APIs)
• Experience with LLM observability and cost/latency optimization