Senior AI Engineer, Conversational AI & Agentic Systems

Location: NY NY (Remote within the US)
Reports To: Director of AI Engineering
Compensation: $150000$210000 base equity

About Blooming Health

Blooming Health is a mission-driven venture-backed health tech company transforming the social care landscape. Were building an intelligent platform that helps people navigate and access the resources essential for holistic well-beingenabling CBOs health systems and health plans to deliver more effective and equitable care.

The Opportunity

Were hiring an AI Engineer to help us design and build the systems that power our AI experiencesespecially LLM-driven workflows conversational patterns and orchestration/agent layers. Youll work closely with the Director of AI Engineering and product/engineering partners to ship reliable AI features into production with strong attention to evaluation data and software quality.

What Youll Do

• Brainstorm and design AI orchestration patterns: how agents hand off how state flows how to handle uncertainty and edge cases.

• Build and maintain our AI orchestration layer (Master OS Engines agent workflows).

• Think through tradeoffs in prompt design tool architecture and conversation flow.

• Design data pipelines that capture transform and surface insights from patient/member interactions.

• Write clean tested production-ready Python (APIs services orchestration code).

• Be a thought partner on technical directionwere building something new and need someone who enjoys solving hard problems together.

What Youll Bring

MUST HAVE

AI / LLM Foundations

• Hands-on experience with LLM APIs (OpenAI Anthropic or similar).

• Understanding of prompt engineering patterns and limitations.

• Familiarity with conversational AI / chatbot architectures.

• Ability to reason about AI system design: when to use agents how to structure workflows how to handle uncertainty.

Python Proficiency

• Comfortable with async Python (asyncio httpx aioredis).

• Experience building APIs and backend services.

• Strong grasp of clean code principles and testing.

Data Engineering Fundamentals

• Strong SQL (PostgreSQL preferred).

• Experience building ETL pipelines / data workflows.

• Understanding of data modeling and schema design.

Nice-to-Haves

AI / LLM Depth

• Orchestration patterns: multi-agent systems tool use function calling.

• RAG embeddings retrieval systems.

• Voice AI / real-time audio (Twilio WebRTC speech-to-text).

• Familiarity with evaluation/testing strategies for AI systems.

Data Engineering Depth

• Streaming data (Kafka event-driven architectures).

• Orchestration tools (Airflow Prefect Dagster).

• dbt or similar transformation frameworks.

Healthcare Domain

• Healthcare workflows HIPAA considerations.

• SDOH care management patient engagement experience.

Infrastructure

• Docker Kubernetes container orchestration.

• Cloud platforms (GCP AWS).

Why Join Blooming Health

• Impact: Help improve access to social care and advance health equity.

• Innovation: Build real AI systems that shipagents orchestration data and evaluation.

• Growth: Take real ownership and grow fast with the product and team.

• Team: Mission-driven people who move quickly and care about doing it right.