RapidSOS - Software Engineer II, AI
Requirements
• 2-3+ years of back-end or full-stack engineering experience shipping production software end to end, with hands-on experience building AI/LLM applications and solid fundamentals in distributed systems, APIs, and operational reliability • Real-time voice, streaming media, or conversational agent experience is a strong plus • Strong Python proficiency, including async programming, with the flexibility to work full-stack, including our TypeScript/React frontend (prior experience with it a plus or open to learning) • Ability to evaluate non-deterministic AI behavior using datasets, automated metrics, qualitative call review, controlled experiments, and clear statistical reasoning • A genuine bias for action, balanced with care: a self-starter who moves fast with an ownership mindset, states intent rather than asks for permission, and doesn't cut corners on a safety-sensitive system • Product-minded problem solving: able to turn ambiguous problems into simple solutions, make evidence-based trade-offs, and own the outcome rather than only the implementation • Clear written and verbal communication along with a collaborative streak that raises the whole team's velocity • Genuinely AI-forward: fluent with AI-assisted coding, always looking for new ways to use AI to work faster, and pushing the envelope with fresh ideas on how we can do better as a team • Willingness to join a weekly on-call rotation and travel 1-2 times per quarter for in-person team gatherings (mostly within Europe)
Responsibilities
• End-to-end product delivery: Own Voice AI agent(s) capabilities from problem discovery and rapid experimentation through architecture, implementation, testing, deployment, and measurement of impact across the real-time agent, APIs, web application, and cloud infrastructure. • End-to-end product delivery: • Improve conversational quality: Improve the caller experience—including latency, turn-taking, barge-in, speech recognition, multilingual behavior, protocol adherence, and transfers—using production evidence and reproducible experiments. • Improve conversational quality: • Safety and reliability: Design fail-safe behaviors, strengthen service resilience and observability, and respond to production issues through contributing factors analysis, mitigation, and prevention. • Safety and reliability: • Evaluation and continuous improvement: Build and use automated evaluations, call-replay tools, production metrics, and controlled traffic trials to identify regressions, quantify trade-offs, and improve model and system behavior. • Evaluation and continuous improvement: • Work across the full stack, from Python backend and AI model behavior to the React/TypeScript UI that customers and operators use to configure and monitor their AI agents. • Use AI tools daily to move faster on code, testing, call analysis, and incident triage, while keeping full ownership of architecture, safety boundaries, and production decisions.
Benefits
• The chance to work with a passionate team on solving one of the largest challenges globally • Competitive salary and benefits and equity participation • A dynamic, flexible and fun start-up work environment with a highly talented team • If you're curious to learn more about RapidSOS, you can check out https://rapidsos.com/blog/ • If you're curious to learn more about RapidSOS, you can check out • https://rapidsos.com/blog/ • RapidSOS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. • Interested in the role but you don’t meet 100% of the requirements? We’d love to hear from you! We encourage you to apply; we’d be excited to see if your unique skill set and experience could be a match.
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