AI Engineer with Voice AI Focus

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.

What You’ll Do

• 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

What You’ll Bring

Must Have

Voice AI Experience

• 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

AI / LLM Foundations

• 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

Python Proficiency

• 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

Data Engineering Fundamentals

• 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 Have

AI / LLM Depth

• 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

Data / Infrastructure

• 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

Healthcare Domain

• Experience in healthcare, care management, patient engagement, or SDOH

• Familiarity with HIPAA and healthcare data and privacy considerations