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

Blooming Health

9d•$250,000 - $300,000•Remote

About The Position

Blooming Health is a mission-driven, venture-backed health tech company transforming the social care landscape. We’re building an intelligent platform that helps people navigate and access the resources essential for holistic well-being, enabling CBOs, health systems, and health plans to deliver more effective and equitable care. We’re hiring an AI Engineer with strong voice AI experience to help design and build the systems that power our AI experiences, with a particular focus on real-time conversational voice systems, LLM-driven workflows, and orchestration layers. You’ll work closely with the Director of AI Engineering and product and engineering partners to ship reliable AI features into production, with strong attention to evaluation, data, latency, and software quality.

Requirements

Hands-on experience building and shipping voice AI or real-time conversational AI systems in production
Experience working with speech-to-text, text-to-speech, telephony, or streaming audio pipelines
Strong understanding of the challenges in voice systems, including latency, interruptions, barge-in, turn-taking, transcription quality, and conversation flow
Experience integrating voice infrastructure such as Twilio, WebRTC, or similar real-time communication tools
Hands-on experience with LLM APIs such as OpenAI, Anthropic, or similar
Strong understanding of prompt engineering patterns, limitations, and production tradeoffs
Experience designing conversational AI systems and reasoning through workflow design, agent structure, and uncertainty handling
Ability to evaluate when to use agents, tools, retrieval, or deterministic logic in AI systems
Strong Python skills, including experience with async Python such as asyncio, httpx, and similar frameworks
Experience building APIs and backend services
Strong grasp of clean code, testing, and production software quality
Strong SQL skills, ideally with PostgreSQL
Experience building ETL pipelines and data workflows
Understanding of data modeling, schemas, and how to structure data for AI systems and analytics

Nice To Haves

Experience with multi-agent systems, tool use, and function calling
RAG, embeddings, and retrieval systems
Familiarity with evaluation and testing strategies for AI systems
Experience improving reliability and observability in production AI systems
Streaming data experience, including Kafka or event-driven systems
Experience with orchestration tools such as Airflow, Prefect, or Dagster
dbt or similar transformation tools
Docker, Kubernetes, and cloud platforms such as GCP or AWS
Experience in healthcare, care management, patient engagement, or SDOH
Familiarity with HIPAA and healthcare data and privacy considerations

Responsibilities

Design and build voice AI systems for real-time, conversational user experiences
Develop and maintain AI orchestration layers, including agent workflows, state management, and system handoffs
Architect and improve workflows across speech-to-text, LLM reasoning, tool calling, and text-to-speech
Think through tradeoffs in conversation design, prompt design, tool architecture, latency, and turn-taking
Build systems that handle ambiguity, interruptions, edge cases, and real-world voice interaction challenges
Write clean, tested, production-ready Python across APIs, services, and orchestration code
Design data pipelines that capture, transform, and surface insights from patient and member interactions
Partner on technical direction and help shape how Blooming Health builds and deploys voice-based AI products