Note: The job is a remote job and is open to candidates in USA. Blooming Health is a venture-backed health technology company building intelligent infrastructure for social care. The Senior AI Engineer will develop and deploy production-grade real-time voice and conversational AI systems, including agent workflows, orchestration logic, backend services, and data pipelines. The role also involves improving system reliability, latency, evaluation, observability, and architecture for Blooming Health’s voice AI platform.
Responsibilities
- Building production-grade conversational voice experiences
- Developing orchestration systems for agent workflows, tools, state, and handoffs
- Designing pipelines that connect speech recognition, LLMs, external tools, and speech generation
- Improving latency, responsiveness, interruption handling, turn-taking, and conversation quality
- Building robust systems for ambiguous inputs and real-world conversational edge cases
- Developing backend APIs and services in Python
- Designing systems for capturing and processing data generated through patient and member conversations
- Establishing evaluation, testing, and observability practices for AI-powered features
- Helping define technical architecture and best practices for Blooming Health’s voice AI platform
Skills
- Production Voice AI Experience
- Meaningful hands-on experience developing and deploying real-time conversational or voice AI products
- Experience with speech-to-text and text-to-speech systems
- Experience with streaming audio
- Experience with telephony integrations
- Experience with WebRTC or similar real-time communication technologies
- Experience with Twilio or comparable voice infrastructure
- Experience with low-latency conversational systems
- Experience with barge-in and interruption handling
- Experience with turn detection and conversation state
- Experience with transcription accuracy and speech-quality challenges
- Comfortable working with modern LLM-based applications
- Experience with OpenAI, Anthropic, or comparable model APIs
- Experience with tool and function calling
- Experience with conversational AI architecture
- Experience with agent workflows and orchestration
- Experience with prompt design and prompt evaluation
- Experience with deterministic logic versus model-driven decision-making
- Experience with error handling and uncertainty management
- Experience with retrieval and RAG patterns
- Experience building multi-agent systems or complex agent workflows
- Strong Python Engineering skills
- Ability to build high-quality production software
- Comfortable with Python
- Experience with async programming using tools such as asyncio and httpx
- Experience with APIs and backend services
- Experience with testing and debugging
- Experience with service architecture
- Ability to write clean, maintainable production code
- Solid data engineering fundamentals
- Experience with SQL
- Experience with PostgreSQL
- Experience with ETL and ELT workflows
- Experience with data modeling
- Experience with pipeline design
- Experience with event-driven architectures
- Experience structuring data for AI evaluation, product analytics, and reporting
- AI evaluation frameworks and automated testing
- LLM observability and production monitoring
- Embeddings and vector search
- Kafka or other streaming technologies
- Airflow, Prefect, Dagster, or similar orchestration tools
- Dbt
- Docker
- Kubernetes
- AWS or GCP
- Healthcare technology
- Patient engagement or care-management products
- Social determinants of health
- HIPAA and healthcare privacy requirements
Benefits
- Fully remote
- Medical, dental, and vision coverage
- 401(k)
Company Overview