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

United States · Remotefull time

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Remote

senior

$170k–$230k

H1B: no

Blooming Health Senior AI Engineer at Blooming Health designs and builds real-time conversational voice AI systems and orchestration layers. Focuses on voice AI challenges, LLM-driven workflows, and production-quality software.

Responsibilities

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.
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

Qualification

Voice AI ExperienceExperience working with speech-to-textAI / LLM FoundationsAbility to evaluate when to use agentsPython ProficiencyStrong Python skillsExperience with multi-agent systemsRAGData / InfrastructureStreaming data experiencedbt or similar transformation tools

Required

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