Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required
Role summary
Blooming Health is seeking a Senior AI Engineer with strong voice AI experience to design and build systems for their intelligent platform. This role focuses on real-time conversational voice systems, LLM-driven workflows, and orchestration layers. The engineer will work closely with leadership to ship reliable AI features into production, emphasizing evaluation, data, latency, and software quality. Responsibilities include designing voice AI systems, developing orchestration layers, architecting speech-to-text to text-to-speech workflows, and handling real-world voice interaction challenges. The ideal candidate will have hands-on experience with voice AI systems, LLM APIs, Python, and data engineering fundamentals.
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 the 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 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.
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
Compensation and Benefits
- Salary:
$250,000 to $300,000
- Fully remote
- Medical, dental, and vision insurance
- 401(k)
Why Join Blooming Health?
- Impact:
Help improve access to social care and advance health equity
- Innovation:
Build real-world voice and AI systems that ship to production
- Ownership:
Take on meaningful technical responsibility and help shape the product
- Team:
Work with mission-driven people who move quickly and care about doing things well