Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required
Blooming Health · United States
About this role
**About Blooming Health** 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 resources essential for holistic well-being—enabling CBOs, health systems, and health plans to deliver more effective and equitable care. **The Opportunity** We’re hiring a **Senior AI Engineer (Conversational AI & Agentic Systems)** with **voice AI experience** to design and build the systems that power our AI experiences. You’ll focus on **real-time conversational voice systems**, **LLM-driven workflows**, and **orchestration layers**, working closely with the Director of AI Engineering and product/engineering partners to ship reliable AI features into production. **What You’ll Do** - Design and build **voice AI systems** for real-time, conversational user experiences - Develop and maintain **AI orchestration layers** (agent workflows, state management, system handoffs) - Architect and improve workflows across **speech-to-text**, **LLM reasoning**, **tool calling**, and **text-to-speech** - Evaluate 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** to capture, transform, and surface insights from patient/member interactions - Partner on technical direction and help shape how Blooming Health builds and deploys voice-based AI products **What You’ll Bring** **Must Have: Voice AI Experience** - Hands-on experience building and shipping **voice AI** or **real-time conversational AI** in production - Experience with **speech-to-text**, **text-to-speech**, **telephony**, or **streaming audio** pipelines - Strong understanding of voice system challenges: **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 **AI / LLM Foundations** - Hands-on experience with **LLM APIs** (e.g., OpenAI, Anthropic, or similar) - Strong prompt engineering knowledge 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** **Python Proficiency** - Strong Python skills, including **async Python** (e.g., `asyncio`, `httpx`) - Experience building **APIs** and backend services - Clean code, testing, and production software quality **Data Engineering Fundamentals** - Strong **SQL** skills (ideally **PostgreSQL**) - Experience building **ETL pipelines** and data workflows - Understanding of data modeling/schemas for AI systems and analytics **Nice to Have** - Multi-agent systems, tool use, and function calling - **RAG**, embeddings, and retrieval systems - Evaluation/testing strategies for AI systems - Improving reliability and observability in production AI systems - Streaming data experience (e.g., **Kafka**) - Orchestration tools (e.g., **Airflow**, **Prefect**, **Dagster**) - **dbt** or similar transformation tools - **Docker**, **Kubernetes**, and cloud platforms (e.g., **GCP** or
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