Job Description
The role involves building and scaling backend systems to support an AI Geospatial Assistant that processes and delivers global imagery insights, ensuring high performance, reliability, and cost-effectiveness at a global scale.
Key Responsibilities
- Build and optimize backend systems for AI Geospatial Assistant, ensuring high throughput, low latency, and global scalability
- Develop and support infrastructure for scaling and delivering embeddings
- Architect AI orchestration and build high-scale systems for LLM workflows
- Collaborate with research teams to transition experimental AI models into production environments
- Implement production-grade monitoring, logging, and tracing for AI services
- Define performance benchmarks and success criteria for AI models
Requirements
- Bachelor's Degree in computer science or an equivalent field
- 4 years of experience building and scaling high-performance backend systems in Python and/or 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
Benefits & Perks
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
Discretionary short-term and long-term incentives bonus and equity
Salary range of $144,500 - $180,600 USD (dependent on experience, skills, and location)
Ready to Apply?
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