What are the responsibilities and job description for the AI Prompt & Product Engineer - Healthcare (Must) position at Valene Health?
Prompt Engineer - Healthcare AI
Valene Health | Remote | Contract
About Valene Health
Valene Health builds AI-powered automation workflow solutions for healthcare operations. Following our recent expansion, we're adding our platform capabilities to tackle critical inefficiencies in patient access and administrative workflows.
The Role
We're seeking a Prompt Engineer to design and optimize AI systems that power healthcare workflows. You'll craft prompts that enable our platform to handle complex healthcare scenarios while maintaining compliance and clinical accuracy.
This is a hands-on role where you'll move fluidly between engineering prompts for conversational AI, designing multi-agent workflows, and collaborating with healthcare stakeholders to understand real-world use cases.
What You'll Build
Patient-Facing Workflows
- Design prompts for AI systems that conduct natural, empathetic healthcare conversations
- Build conversational flows that handle medical information collection and patient communication
- Create prompt templates that translate complex healthcare information into accessible language
- Develop multi-turn dialogue systems that manage interruptions, clarifications, and contextual nuance
Administrative & Operational Workflows
- Engineer prompts for intelligent document review and data validation processes
- Design AI workflows that automate verification and approval processes
- Build prompts that identify inconsistencies, errors, and anomalies in healthcare data
- Create quality assurance systems that surface edge cases for human review
Core Responsibilities
- Design, test, and refine prompts for healthcare-specific LLMs (OpenAI, Anthropic Claude)
- Build evaluation frameworks to measure prompt performance across accuracy, compliance, and safety metrics
- Contribute to fine-tuning workflows: curate datasets, run training jobs, evaluate model outputs
- Develop reusable prompt libraries for common healthcare automation scenarios
- Collaborate with clinical teams and operations staff to understand workflow bottlenecks
- Write Python/JavaScript code for prompt testing, system integration, and production monitoring
- Establish guardrails for patient safety, regulatory compliance, and data protection
- Prototype multi-agent architectures where specialized AI agents collaborate on complex workflows
Required Qualifications
- 2 years experience with LLM prompt engineering and evaluation (OpenAI, Anthropic, or similar)
- Proficiency in Python and/or JavaScript/TypeScript for automation and API integration
- Hands-on experience with conversational AI design and multi-turn dialogues
- Understanding of fine-tuning techniques (dataset preparation, training, evaluation)
- Strong communication skills to bridge technical systems and operational needs
- Comfort with rapid iteration and metrics-driven optimization in production
Preferred Qualifications
- Healthcare technology experience (EMR/EHR systems, healthcare operations)
- Familiarity with healthcare data standards and interoperability protocols
- Knowledge of medical terminology and clinical workflows
- Understanding of healthcare compliance frameworks (HIPAA, SOC 2)
- Experience with AI safety, reliability testing, and anomaly detection
- Background in NLP for medical or regulated domains
Who You Are
- You're energized by applying AI to solve real problems in healthcare delivery
- You think critically about AI safety in high-stakes environments (harm prevention, bias detection, appropriate escalation)
- You're comfortable context-switching between patient-facing and operational workflows
- You believe great prompt engineering requires deep domain understanding—you'll spend time with end users understanding real needs
- You thrive in startup environments where your work ships quickly and makes measurable impact
Note: We offer competitive compensation that reflects the candidate's experience