AI Software Engineer

Who you are

• 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)
• 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

What the job involves

• Our Voice AI team is building the next generation of intelligent safety technology
• We build AI agents that triage incoming alerts in seconds, relieve the burden on emergency telecommunicators by handling non-emergency calls, and provide real-time translation between callers and call-takers
• As an AI Engineer on this team, you’ll own core capabilities end to end—from model behavior and backend architecture to evaluation tooling
• Every improvement you ship shaves seconds off a response, and in an emergency, seconds are what save lives
• 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
• 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
• Safety and reliability: Design fail-safe behaviors, strengthen service resilience and observability, and respond to production issues through contributing factors analysis, mitigation, and prevention
• 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
• 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

• Unlimited PTO
• Access to financial and legal resources
• 401(k)
• Commuter benefits
• Medical, dental, and vision plans
• Wellness benefits
• Charitble donation match
• Annual learning & development stipend
• One-time home office stipend