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

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

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Blooming Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🏥 Healthcare

🏛️ Government

☁️ SaaS

💰 $26M Series A - Blooming Health on 2025-04

Healthcare • Government • SaaS

Blooming Health is an AI-powered, HIPAA-compliant omnichannel care-management SaaS platform that automates screening, outreach, referrals, and closed-loop follow-up to connect vulnerable populations to social and medical supports. Trusted by 1,500+ organizations across 25 states, Blooming Health runs multilingual voice, SMS, and email journeys, integrates with EHRs via FHIR/HL7/APIs, and supports use cases including post-discharge outreach, social referral management, community care hubs, and AI-assisted Medicaid and SNAP recertification. It serves healthcare organizations, government agencies, and community-based organizations to increase program participation, reduce readmissions, and meet reporting and compliance requirements.

📋 Description

• 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 • Make tradeoffs involving conversation design, prompt design, tool architecture, latency, and turn-taking • Build systems handling 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 • Work closely with the Director of AI Engineering and product and engineering partners to ship reliable AI features into production

🎯 Requirements

• Hands-on experience building and shipping voice AI or real-time conversational AI systems in production • Experience with speech-to-text, text-to-speech, telephony, or streaming audio pipelines • Strong understanding of latency, interruptions, barge-in, turn-taking, transcription quality, and conversation flow • Experience integrating Twilio, WebRTC, or similar real-time communication tools • 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, workflow design, agent structure, and uncertainty handling • Ability to evaluate when to use agents, tools, retrieval, or deterministic logic • Strong Python skills, including async Python such as asyncio and httpx • Experience building APIs and backend services • Strong grasp of clean code, testing, and production software quality • Strong SQL skills, ideally with PostgreSQL • Experience building ETL pipelines and data workflows • Understanding of data modeling, schemas, and structuring data for AI systems and analytics • 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 • Streaming data experience, including Kafka or event-driven systems • Experience with Airflow, Prefect, or Dagster • dbt or similar transformation tools • Docker, Kubernetes, and cloud platforms such as GCP or AWS • Experience in healthcare, care management, patient engagement, or SDOH • Familiarity with HIPAA and healthcare data and privacy considerations

🏖️ Benefits

• Fully remote • Medical, dental, and vision insurance • 401(k) • Offers Equity