[Hiring] Senior Software Engineer, AI Operations @RapidSOS

Role Description

We are building a small, high-autonomy team dedicated to transforming how RapidSOS operates — using AI to simplify, accelerate, and fundamentally reimagine the way we work internally. This is not a maintenance role. This is not a backlog-grooming role. This is a blank-canvas, entrepreneurial engineering role for someone who wants a real company as a substrate to test and prove their hypotheses about where AI creates leverage in business operations.

You will be one of three people on this team, reporting directly into the SVP of AI Product Strategy & Innovation. You will have broad access to the company, its systems, its data, and its teams. Your job is to find the highest-value targets for AI-driven transformation and then build and ship improvements — fast. We expect meaningful impact within 30 days and a weekly shipping cadence starting the first week.

If you have ever thought of founding a company in this space but wanted a real environment to check your hypotheses, then this role could be a great match!

What you’ll do:

• Independently identify the highest-leverage opportunities across RapidSOS operations where AI can create meaningful acceleration, simplification, or cost reduction
• Design, build, and deploy AI-powered tools, agents, and automations — end to end — with a daily or weekly shipping cadence
• Work across every function of the company (engineering, sales, customer success, product, ops) to understand workflows and spot AI application opportunities
• Evaluate and adopt the best available AI coding agents and agentic frameworks (Claude Code, Cursor, Copilot, and equivalents) to maximize your own output velocity
• Own the full lifecycle of each initiative: discovery, hypothesis, prototype, production, and measurement of impact
• Bring a founder's perspective — you are not executing a prescribed roadmap, you are defining it

Qualifications

• Senior-level engineering ability — you can go from idea to deployed production system quickly and independently and work across the stack
• AI-native mindset — you are already using coding agents, LLM APIs, and agentic frameworks as core parts of your daily workflow, not as experiments
• High agency — you do not wait to be told where to look; you form hypotheses, test them, and move on if they do not pan out
• Operational curiosity — you are genuinely interested in how businesses work and excited by the prospect of making them work better
• Startup DNA — you have founded, co-founded, or joined an early-stage company (or are actively planning to); you think in terms of leverage and impact, not tickets and story points
• Speed without sacrificing quality — you ship working software frequently and are comfortable with a weekly cadence of measurable improvements
• Clear communicator — you can explain what you built, why you built it, and what it achieved, to both technical and non-technical audiences

Requirements

• Prior experience building internal tooling or operational automation at scale (nice-to-have)
• Hands-on experience with LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI, or equivalent) (nice-to-have)
• Familiarity with cloud-native architectures (AWS preferred) (nice-to-have)
• Experience at a high-growth B2B SaaS company (nice-to-have)
• Background in or interest in public safety, emergency response, or mission-driven technology (nice-to-have)

Benefits

• Direct access to a $1B+ company's full operational footprint — data, systems, teams, and leadership — as a testing ground
• A focused, highly motivated team of three with minimal process overhead
• High trust and high autonomy from day one — no permission-seeking required
• The opportunity to build a track record of measurable AI-driven transformation at real company scale
• A mission that matters: everything you build ultimately supports faster, smarter emergency response
• Competitive salary and benefits and equity participation