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