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

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop voice AI systems that facilitate real-time, conversational user interactions.

• Create and maintain AI orchestration layers, which include managing agent workflows, state management, and system transitions.

• Architect and enhance workflows across speech-to-text, LLM reasoning, tool invocation, and text-to-speech processes.

• Make decisions regarding conversation design, prompt formulation, tool architecture, latency considerations, and turn-taking mechanics.

• Develop systems capable of managing ambiguity, interruptions, edge cases, and the complexities of real-world voice interactions.

• Produce clean, tested, production-ready Python code for APIs, services, and orchestration tasks.

• Construct data pipelines that capture, transform, and provide insights from patient and member interactions.

• Collaborate on technical strategy and contribute to the development and deployment of voice-based AI products at Blooming Health.

• Work in close partnership with the Director of AI Engineering along with product and engineering teams to deliver reliable AI features into production.

⛳️ Requirements

• Proven experience in building and deploying voice AI or real-time conversational AI systems in a production environment.

• Familiarity with speech-to-text, text-to-speech, telephony, or streaming audio pipelines.

• Strong knowledge of latency, interruptions, barge-in, turn-taking, transcription quality, and conversation dynamics.

• Experience in integrating real-time communication tools like Twilio, WebRTC, or similar technologies.

• Hands-on experience with LLM APIs such as OpenAI, Anthropic, or comparable services.

• Solid understanding of prompt engineering techniques, limitations, and production-related tradeoffs.

• Background in designing conversational AI systems, including workflow design, agent structuring, and uncertainty management.

• Ability to assess when to utilize agents, tools, retrieval methods, or deterministic logic.

• Proficient in Python, including async capabilities such as asyncio and httpx.

• Experience in building APIs and backend services.

• Strong commitment to clean coding practices, testing, and overall software quality in production.

• Solid SQL skills, preferably with PostgreSQL.

• Experience in constructing ETL pipelines and managing data workflows.

• Understanding of data modeling, schema design, and structuring data for AI applications and analytics.

• Experience with multi-agent systems, tool usage, and function invocation.

• Familiarity with RAG, embeddings, and retrieval systems.

• Knowledge of evaluation and testing methodologies for AI systems.

• Experience in enhancing the reliability and observability of production AI systems.

• Exposure to streaming data technologies, including Kafka or event-driven architectures.

• Experience with orchestration tools like Airflow, Prefect, or Dagster.

• Familiarity with dbt or similar transformation tools.

• Experience with Docker, Kubernetes, and cloud platforms such as GCP or AWS.

• Background in healthcare, care management, patient engagement, or social determinants of health (SDOH).

• Understanding of HIPAA regulations and healthcare data privacy considerations.

🏝️ Benefits

• Fully remote work environment.

• Comprehensive medical, dental, and vision insurance.

• 401(k) retirement plan.

• Equity options available.