Sr AI Engineer

1 week ago Be among the first 25 applicants About Murphy AI Murphy AI is revolutionizing debt collection through conversational artificial intelligence. We're building an advanced debt recovery platform where AI agents conduct natural, empathetic conversations across multiple channels—with a special focus on voice interactions at scale. Our AI agents don’t just send emails or SMS. They pick up the phone, understand human speech, respond intelligently, and negotiate—while maintaining the nuance and empathy that complex financial conversations require. The challenge is making our agents sound so natural that debtors forget they're talking to AI, while handling the complexity of financial negotiations, regulatory compliance, and emotional conversations. We’re also constantly improving the system’s intelligence with every interaction. The Role As our Senior AI Engineer, you’ll engineer the intelligence behind thousands of daily phone calls and multi‑channel conversations that recover millions in debt while treating people with dignity. What Makes This Role Unique Real‑world voice AI impact: Your contributions directly power live phone conversations with real people End‑to‑end ownership: From conversation design to deployment and optimization Complex conversational challenges: Navigate payment negotiations, objection handling, and emotional conversations Cutting‑edge tech stack: Latest LLMs, advanced TTS/STT systems, real‑time processing Immediate feedback loops: See your AI agents in action and iterate rapidly What You’ll Build Advanced Conversational Systems Design and optimize real‑time voice interaction pipelines for natural, low‑latency conversations Build context‑aware conversational flows that adapt tone, pace, and strategy based on conversation state Implement quality assurance systems that monitor and improve conversation performance Conversational Intelligence Develop AI agents that understand context, emotions, and intent in real‑time conversations Build intelligent conversation routing that knows when to escape, when to negotiate, and when to empathize Design prompt strategies and agent behaviors that maximize both recovery rates and user experience Experiment with different approaches to improve conversation outcomes continuously Production AI Infrastructure Optimize latency‑critical pipelines for natural conversation flow Build scalable orchestration systems that handle hundreds of concurrent interactions Design A/B testing frameworks for voice and text interactions Ensure reliability, monitoring, and observability of AI systems in production AI Tooling & Innovation Create internal tools for conversation analysis, quality evaluation, and performance monitoring Build simulation and testing frameworks for conversational edge cases Research and experiment with new AI technologies to keep Murphy ahead of the curve Explore innovative approaches to voice synthesis, speech recognition, and conversational design The Technical Playground AI & Voice Stack LLMs: OpenAI, Anthropic and others TTS: ElevenLabs (experience with these or similar tools is a plus) STT: Whisper, AssemblyAI (experience with these or similar tools is a plus) Real‑time Communication: WebSockets, Livekit (experience with these or similar tools is a plus) AI Observability: LangFuse Infrastructure Backend: Node.js microservices, TypeScript, Python Messaging: Kafka for inter‑service communication Monitoring & Observability: LangFuse, Datadog Data: PostgreSQL, vector databases What We’re Looking For Core Requirements 4+ years of software development experience with a solid engineering foundation Proven experience deploying Gen AI solutions in production (LLMs, RAG pipelines, AI agents) Strong interest and passion for voice AI and TTS/STT technologies – you’re excited about conversational AI and want to dive deep into this area Fullstack capabilities: You understand both backend systems and how they integrate with user‑facing applications Collaborative mindset: Experience mentoring teammates and contributing to team growth Nice to Have Background in speech processing, audio preprocessing, or acoustic systems Experience with conversational AI frameworks and voice flow design Knowledge of voice quality metrics and evaluation methodologies Understanding of WebSocket protocols and real‑time communication systems Experience with supervised learning, model training pipelines, or classical ML approaches The X-Factor Genuine passion for AI: You get excited about AI advances and love experimenting with new technologies Product mindset: You think about adding value to the user, not just tech improvements Strong communication skills: You can explain complex technical concepts clearly to different audiences Proactive and self‑motivated: You take ownership and drive projects forward independently What We Offer €80k–120k + equity: Own a piece of the AI revolution Latest voice AI tools: Work with cutting‑edge technologies and shape our technical decisions Technical autonomy: Contribute to our entire voice architecture from the ground up Culture of experimentation: We value learning through experimentation—as long as it aligns with our goals Impact: Be part of our startup’s growth story, where your contributions directly influence our product and future Startup perks Daily meals with Nora Foods (50% covered) Panot e‑bike subscription (50% covered) Cobee flexible compensation card Continuous learning through trainings and knowledge‑sharing Ready to Build the Future of Conversational AI? If you’re looking for an opportunity to work deeply with voice AI and conversational systems in production, this is your chance. We’re creating intelligent agents that navigate complex human conversations with empathy, intelligence, and real business impact. Your work will directly touch thousands of conversations daily, pushing the boundaries of what’s possible in applied conversational AI. Sound interesting? Let’s talk. #J-18808-Ljbffr