Lead Backend Engineer (AI Infrastructure & Data Platforms) | USA
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Lead Backend Engineer (AI Infrastructure & Data Platforms) | USA
Location
Miami, Florida, United States
Experience
Senior
Posted
Jul 14, 2026
Apply by
July 31, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
## About the Hiring Process
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# About the Company
Our client is building the next generation of AI-powered governance infrastructure, creating intelligent software that transforms how complex organisations manage knowledge, workflows, and decision-making.
Their platform combines AI, automation, distributed systems, and data engineering to power large-scale governance, analytics, and business intelligence. As they continue to scale, they're looking for exceptional engineers who enjoy solving technically challenging problems and building products with real-world impact.
- Location: Remote (United States)
- Employment Type: Full-time
- Level: Lead
- Work Authorization: Existing US work authorization required.
# About the Role
We're looking for a Lead Backend Engineer to build the core automation engine and data platform powering next-generation AI systems.
This is a highly hands-on engineering role where you'll architect scalable backend services, build production-grade data pipelines, develop AI infrastructure, and own complex distributed systems from design through production.
# What You'll Do
### Backend Engineering;
- Design and build scalable backend services using TypeScript and Node.js
- Develop production-ready APIs and distributed systems
- Build automation platforms that improve complex business workflows
- Architect reliable, scalable backend infrastructure
### Data Platforms;
- Build robust data pipelines integrating third-party APIs and external data sources
- Design scalable relational database schemas and data models
- Ensure data integrity, monitoring, validation, and observability
- Develop infrastructure supporting business intelligence and AI applications
### AI Infrastructure;
- Build systems supporting AI agents and intelligent automation
- Develop scalable execution environments for AI-powered workflows
- Create secure, traceable, and reliable automation platforms
- Contribute to next-generation knowledge management systems
### Technical Leadership;
- Lead projects from architecture through production deployment
- Drive engineering best practices and technical excellence
- Identify technical risks early and deliver incrementally
- Collaborate across engineering and product teams to solve complex problems
# What We're Looking For
## Must Have;
- 5+ years building production backend or server-side systems
- Strong TypeScript and Node.js expertise
- Experience with Python, Go, Rust, or Java
- Advanced SQL and relational database design
- Experience building production data pipelines
- Experience integrating third-party APIs
- Strong distributed systems knowledge
- Excellent system design and architecture skills
- High ownership and execution mindset
- Experience leading complex technical initiatives
## Nice to Have;
- AI infrastructure or LLM experience
- Blockchain or distributed ledger experience
- Experience with Notion, Supabase, or similar platforms
- Event-driven architectures
- Open-source contributions
- PostgreSQL expertise
- Observability and monitoring platforms
- Startup or high-growth company experience
# What We Offer
- Competitive USD compensation
- Equity and token participation
- Performance-based bonuses
- Fully remote within the United States
- High ownership from day one
- Opportunity to build cutting-edge AI infrastructure
- Small, high-performing engineering team
- Collaborative, fast-paced environment focused on solving meaningful technical challenges
If you're excited about building scalable backend systems, AI-powered infrastructure, and distributed platforms that push the boundaries of intelligent software, we'd love to hear from you...
Key Responsibilities
- Design and build scalable backend services using TypeScript and Node.js
- Develop production-ready APIs and distributed systems
- Build automation platforms that improve complex business workflows
- Architect reliable, scalable backend infrastructure
- Build robust data pipelines integrating third-party APIs and external data sources
- Design scalable relational database schemas and data models
- Ensure data integrity, monitoring, validation, and observability
- Develop infrastructure supporting business intelligence and AI applications
- Build systems supporting AI agents and intelligent automation
- Develop scalable execution environments for AI-powered workflows
- Create secure, traceable, and reliable automation platforms
- Contribute to next-generation knowledge management systems
- Lead projects from architecture through production deployment
- Drive engineering best practices and technical excellence
- Identify technical risks early and deliver incrementally
- Collaborate across engineering and product teams to solve complex problems
Skills Required
TypeScriptNode.jsPythonGoRustJavaSQLRelational database designDistributed systemsSystem designAPI integrationData pipelinesHigh ownershipExecution mindsetTechnical leadershipCollaborationProblem solvingAI infrastructureLLMBlockchainDistributed ledgerNotionSupabaseEvent-driven architecturesOpen-source contributionsPostgreSQLObservability platformsMonitoring platforms
Benefits
- Competitive USD compensation
- Equity and token participation
- Performance-based bonuses
- Fully remote within the United States
- High ownership from day one
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