Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

The Senior AI Engineer will design, develop, and optimize advanced conversational AI systems with a focus on voice interactions, agent workflows, and production-grade AI infrastructure. This role combines deep technical execution with architectural decision-making to deliver reliable, scalable AI experiences.

• 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.
• Develop clean, tested, production-ready Python applications, APIs, backend services, and orchestration components.
• 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:

The ideal candidate is a technically strong AI engineer with proven experience building voice-based AI systems and production LLM applications. They should combine software engineering excellence with strong knowledge of conversational AI architectures, data systems, and modern AI development practices.

• Hands-on 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.
• Deep understanding of prompt engineering, agent architectures, tool usage, retrieval systems, and AI workflow design.
• Ability to determine when to use agents, tools, retrieval-based approaches, or deterministic logic.
• 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.