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

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required based in United States.

This is an opportunity for an experienced AI engineer to build next-generation conversational and voice-based AI systems that directly improve access to essential services. The role focuses on designing scalable AI architectures, real-time voice experiences, and intelligent agent workflows deployed in production environments. You will work at the intersection of large language models, speech technologies, backend engineering, and data infrastructure. The position offers the chance to influence technical direction while solving complex challenges around latency, reliability, and human-AI interaction. You will collaborate with cross-functional engineering and product teams to create impactful AI-powered solutions. This role is ideal for a hands-on engineer passionate about advancing practical AI systems that deliver meaningful real-world outcomes.

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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1