Senior / Staff Software Engineer (Voice)
About The Position
Our client is a fast-growing AI software company transforming how large-scale service organizations operate through autonomous AI agents. Their platform enables human-like, multi-step reasoning to manage complex workflows across voice, messaging, and web channels—at scale and around the clock. Backed by top-tier investors and experiencing rapid year-over-year growth, the company supports millions of end users on its platform and has scaled revenue from zero to multi-million ARR in a short time frame. This is a rare opportunity to join a category-defining AI company at a pivotal stage of growth, working on real-world systems that impact millions of daily interactions.
Requirements
- 5+ years of professional experience in software engineering
- Hands-on experience building and scaling production conversational AI, voice AI, or NLP systems
- Experience deploying AI systems that handle high-volume, real-world user interactions
- Strong background in backend or platform engineering, with comfort operating in fast-paced environments
- Ability to take ownership of complex problems end-to-end and deliver high-quality solutions
- Bachelor’s degree in Computer Science or a related technical field (or equivalent practical experience)
Nice To Haves
- Experience with conversational AI frameworks or platforms (e.g., Dialogflow, Amazon Lex, Rasa, Botpress)
- Experience working with speech technologies (STT/TTS) and voice-enabled applications
- Familiarity with LLM APIs and AI tooling (e.g., OpenAI, Anthropic)
- Background in high-growth SaaS, AI startups, or early-stage product companies
- Exposure to domains such as real estate tech, workflow automation, or enterprise software
- Experience with cloud infrastructure (AWS or similar)
Responsibilities
- Design, build, and deploy production-grade conversational AI systems across voice, SMS, and web chat
- Develop and optimize NLP pipelines for intent classification, entity extraction, and conversation state management
- Build and scale LLM-powered conversation flows , applying advanced prompt engineering techniques
- Integrate speech-to-text and text-to-speech systems to support natural, real-time voice experiences
- Establish monitoring, logging, and analytics to track conversation quality, latency, and system performance
- Collaborate closely with product, design, and cross-functional partners to deliver intuitive, high-impact user experiences
- Contribute to architectural decisions for systems handling thousands of concurrent real-world interactions
Benefits
- Competitive equity package
- Opportunity to work on mission-critical AI systems with real-world impact at massive scale
- Join a rapidly growing team with strong product momentum and long-term career growth opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
