AmeriSave Mortgage Corporation is a leading online mortgage lender dedicated to delivering responsible home lending solutions. They are seeking an experienced Voice Bot Engineer to design, develop, and deploy intelligent voice bot systems, enhancing customer service platforms through innovative AI technology.
Responsibilities:
- Architect and implement robust voice bot solutions that operate effectively across phone-based IVR systems and web-based voice interfaces
- Integrate bots with LLMs and MLMs to create dynamic, multilingual, context-aware conversations
- Collaborate with UX designers to build conversational flows that feel natural, human-like, and contextually adaptive
- Connect voice bots to internal APIs, CRMs, and knowledge bases to power real-time interactions
- Design systems for managing fallback behaviors, intent resolution, escalation, and sentiment analysis
- Build tooling and infrastructure for testing, monitoring, and improving voice bot performance over time
- Ensure compliance with security, privacy, and regulatory standards, especially in financial and consumer data contexts
Requirements:
- 5+ years of experience developing production-grade voice bots or conversational AI systems
- Proven success integrating bots into telephony systems (Asterisk, Twilio, Amazon Connect, Google Dialogflow CX, etc.)
- Deep familiarity with building voice experiences for the web (Web Speech API, VUI design, etc.)
- Hands-on experience interfacing bots with LLMs (Gemini, OpenAI, Anthropic, Cohere) and MLMs for multilingual interactions
- Proficiency in languages like Node.js, Typescript, or Python for backend integrations
- Experience working with speech recognition (ASR) and text-to-speech (TTS) engines
- Comfort with real-time messaging, API integrations, and scalable architecture patterns
- Excellent communication skills and a strong sense of ownership in delivering user-facing features
- Experience in the mortgage, fintech, or regulated financial services domain
- Familiarity with prompt engineering
- Exposure to sentiment detection and emotion-aware dialogue systems