Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required
Jobgether · United States · 1 mo ago
RemoteRemoteEngineering$250k–$300k/yrFull-time
About the role
The Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required is a hands-on position focusing on designing, developing, and optimizing advanced conversational AI systems with a focus on voice interactions, agent workflows, and production-grade AI infrastructure.
Responsibilities
- Design and build real-time conversational voice AI systems that support natural, effective user interactions.
- Develop AI orchestration frameworks, including agent workflows, state management, tool integration, and system handoffs.
- Architect and optimize pipelines involving speech-to-text, LLM reasoning, tool calling, and text-to-speech technologies.
- Evaluate and improve conversation design, prompt strategies, workflow architecture, latency, and interaction quality.
- Build resilient AI systems capable of handling ambiguity, interruptions, edge cases, and complex real-world conversations.
- Create and maintain data pipelines that capture, process, and analyze insights from user interactions.
- Partner with engineering and product teams to define technical strategies and improve AI product capabilities.
- Contribute to AI system evaluation, monitoring, reliability improvements, and production optimization.
- Help shape best practices for building and deploying scalable AI-powered products.
Requirements
- Technically strong AI engineer with proven experience building voice-based AI systems and production LLM applications.
- Proven experience designing, building, and deploying production voice AI or real-time conversational AI systems.
- Experience with speech technologies including speech-to-text, text-to-speech, telephony systems, or streaming audio pipelines.
- Strong understanding of voice AI challenges such as latency optimization, interruptions, turn-taking, transcription accuracy, and conversation flow.
- Experience integrating real-time communication technologies such as Twilio, WebRTC, or similar platforms.
- Strong experience working with LLM APIs such as OpenAI, Anthropic, or comparable AI platforms.
- Advanced Python programming skills, including asynchronous development with tools such as asyncio and related frameworks.
- Experience building APIs, backend services, and high-quality production software.
- Strong SQL skills, preferably with PostgreSQL, and experience designing data models and ETL workflows.
- Knowledge of AI system evaluation, testing strategies, observability, and reliability practices.
- Experience with streaming data technologies, event-driven architectures, or orchestration tools is a plus.
- Familiarity with Docker, Kubernetes, cloud platforms such as AWS or GCP, and modern infrastructure practices is preferred.
- Experience in healthcare, care management, patient engagement, social care, or regulated data environments is beneficial.
- Understanding of HIPAA, healthcare data privacy, and security considerations is a plus.
Benefits
- Competitive compensation range of $250,000-$300,000 annually.
- Fully remote work environment.
- Medical, dental, and vision insurance coverage.
- 401(k) retirement plan.
- Opportunity to build impactful AI systems that improve access to essential services.
- Ownership of meaningful technical projects with significant product influence.
- Collaboration with a mission-driven team focused on innovation and real-world impact.
- Opportunity to work on advanced voice AI and agentic systems deployed in production.