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

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: $170,000 to $230,000

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