We are building an AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. We have strong traction and recently closed a $5M seed round to expand our engineering and product organization, as well as add additional services. We’re looking for a senior engineer to own and evolve the backend and AI systems that power our core workflows.

What you’ll build:

• Integrations & ingestion: pull data from third-party systems (APIs / webhooks / files)
• AI workflows in production: tool-using agents, RAG / search, classification / extraction, human-in-the-loop flows
• Evals & monitoring: regression tests for prompts / workflows, quality metrics, drift detection, cost / latency tracking
• Scalable systems: queues and orchestration, retries, data modeling, API design to support rapid iteration
• Security & privacy: strong auth controls and safe handling of sensitive data

Responsibilities:

• Analyze requirements and propose AI-native solutions to technical problems
• Write clean, scalable code
• Test and deploy features and services
• Optimize AI system performance
• Respond to critical system issues and ensure reliability
• Mentor team members and collaborate across teams
• Understand user needs and solve design challenges creatively
• This is a remote role. Minimum 4 hours overlap with the team (11am–3pm ET).

Qualifications:

• Senior-level backend experience (typically 5+ years) shipping production systems you’ve owned
• Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)
• Hands-on experience with LLM-powered features, prompting, optimization, and AI architectures (RAG, reranking, etc.)
• Experience with infrastructure as code, cloud, and CI/CD systems
• Deep understanding of a modern web and AI stack
• Comfort using AI coding tools to build quickly and at scale

Nice to have:

• Experience with workflow automation tools
• Domain experience with back-office or skilled-trade workflows
• Mobile development experience (Expo and/or React Native)
• Strong experience with AWS and core services