Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required
$230,000
Apply (opens in a new tab)Senior AI Engineer, Conversational AI & Agentic Systems - Voice Required
Posted today
SENIORITY
Lead
SALARY
$230,000
About the role
- 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 BringMust HaveVoice 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 toolsAI / 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 PostgreSQLExperience building ETL pipelines and data workflows
- Understanding of data modeling, schemas, and how to structure data for AI systems and analytics
- AI / LLM Depth
- Experience with multi-agent systems, tool use, and function callingRAG, embeddings, and retrieval systems
- Familiarity with evaluation and testing strategies for AI systemsExperience improving reliability and observability in production AI systems
- Data / Infrastructure
- Streaming data experience, including Kafka or event-driven systemsExperience with orchestration tools such as Airflow, Prefect, or Dagsterdbt or similar transformation tools
- Docker, Kubernetes, and cloud platforms such as GCP or AWSHealthcare Domain
- Experience in healthcare, care management, patient engagement, or SDOHFamiliarity with HIPAA and healthcare data and privacy considerations
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
