Software Engineer, AI Applications

TL;DR

Software Engineer, AI Applications: Building and optimizing AI-driven backend systems for an energy management platform with an accent on LLM integration, microservices architecture, and data integration with utility APIs. Focus on designing scalable systems, solving complex data orchestration challenges, and ensuring system reliability for critical energy infrastructure.

Location: San Francisco Bay Area | Hybrid (3 days onsite, 2 remote)

Company

hirify.global is building an AI Energy Agent to consolidate messy, multi-utility bills into a single and cheaper subscription for businesses.

What you will do

• Build production systems connecting LLMs and coding agents with data and product APIs.
• Design and deploy fast, secure microservices in Python (and optionally TypeScript).
• Build reliable connectors to energy company portals and public data sources.
• Help design backend infrastructure for AI agents to act autonomously across the data stack.
• Own 24/7 systems ensuring low latency and high reliability.
• Ship CI/CD pipelines, logs, and metrics for observability and maintainability.
• Collaborate with customer success and sales teams to translate real-world problems into technical abstractions.

Requirements

• 1+ year of experience building production backends or full-stack systems (Python, GCP or AWS infrastructure).
• AI-native mindset, excited to integrate LLMs and tools like LangChain, OpenAI APIs, or custom agents into real systems.
• Can turn an idea into a running system quickly and iterate based on feedback.
• Able to explain complex systems to both technical and business teams.
• Scopes work, executes, and delivers without handholding.
• Understands that things break and priorities shift in an early-stage startup.
• Connects code directly to customer outcomes and business metrics.

Nice to have

• Experience building production systems involving energy, fintech, or automation.

Culture & Benefits

• Build the AI backbone of the energy economy at a time when both AI and energy are being reinvented.
• Work directly with Stanford alum founders and an elite set of engineers who ship fast, think deeply, and care about doing things that matter.
• See code go from prototype to production in days.
• Help real businesses save money and reduce emissions.
• High-ownership, high-impact role.