About the Role

We’re hiring an AI Prompt & Product Engineer to help turn cutting-edge AI into real impact in healthcare. You’ll be responsible for shaping how our platform thinks, speaks, and solves problems — from designing prompts and fine-tuning models to scoping MVPs and testing new AI workflows.

In an early-stage startup, no two days look the same. Some days you’ll be experimenting with multi-agent setups or refining intake flows; others you’ll be pressure-testing our platform, breaking it on purpose, and helping translate ambitious client ideas into something we can ship in weeks, not months. If you enjoy blending engineering, product, and experimentation — this role is for you.

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What You’ll Do

Prompt Design & Model Development

• Craft and refine prompts that support healthcare tasks like scheduling, eligibility checks, patient education, and intake.
• Contribute to fine-tuning by preparing datasets, running training jobs, and evaluating results.
• Explore new model behaviors and compare approaches across LLMs.
• Build internal tools and scripts to test and benchmark prompts at scale.

Product Discovery & Workflow Design

• Translate broad client requests into focused, testable solutions.
• Work with clinicians and staff to uncover bottlenecks and identify the core workflows worth automating.
• Break down complex problems into phased rollouts that let us learn quickly while reducing risk.
• Prototype new use cases and validate them with real users.

Testing & Quality Assurance

• Be the first user and toughest critic of our AI platform.
• Design testing scenarios that catch edge cases and failure modes early.
• Define metrics to measure conversation quality, accuracy, and user trust.
• Stress-test new features, models, and integrations before release.

Engineering & Technical Leadership

• Contribute directly to product code with Python/JavaScript for automation, integrations, and evaluation pipelines.
• Partner with engineers on architecture and deployment decisions.
• Identify opportunities to apply emerging AI techniques (RAG, multi-agent orchestration, lightweight fine-tuning).
• Explain technical trade-offs clearly to both internal and external stakeholders.

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What You Bring

Core Experience

• 2+ years in AI/ML engineering, product engineering, or similar roles (startup or fast-paced environments a plus).
• Hands-on experience with LLMs, prompt engineering, and evaluation.
• Proficiency in Python and/or JavaScript/TypeScript.
• A track record of turning complex requirements into shipped products.
• Comfort with hypothesis-driven development and rapid iteration.

Technical Background

• Knowledge of AI frameworks, APIs, and fine-tuning techniques.
• Understanding of conversational AI design and multi-agent systems.
• Familiarity with A/B testing and metrics-driven decision-making.
• Ability to collaborate closely with engineers on system design and implementation.

Nice to Have

• Background in healthcare technology or regulated environments.
• Familiarity with standards like HL7/FHIR or insurance workflows.
• Awareness of compliance requirements (HIPAA, SOC 2).
• Interest in AI safety, reliability, and alignment.

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Who You Are

• You thrive in ambiguity and enjoy experimenting your way to clarity.
• You want to see AI solve real, human problems in healthcare, not just toy use cases.
• You’re comfortable moving between roles — one day coding, the next mapping out workflows with clinicians.
• You believe speed, learning, and responsibility go hand in hand.

About the Role

We’re looking for a Prompt Engineer to join our early-stage healthcare AI startup. In this role, you’ll design, test, and optimize prompts and workflows that power real-world use cases such as patient scheduling, insurance eligibility and prior auth, medical history collection, and patient education. You’ll also contribute to model fine-tuning and evaluation to ensure outputs meet the accuracy, compliance, and usability standards needed in healthcare. Expect to wear many hats — from prototyping prompts to coding integrations — as we rapidly iterate and scale.

Key Responsibilities

• Design, refine, and test prompts to enable accurate and reliable outputs for healthcare scheduling, insurance workflows, patient intake, and education.
• Build and maintain reusable prompt libraries and evaluation frameworks to improve performance and reproducibility.
• Contribute to fine-tuning models (collecting and curating datasets, running training jobs, evaluating outputs) to improve domain-specific accuracy.
• Write code to automate testing, integrate AI workflows into APIs and applications, and monitor performance in production.
• Collaborate directly with clinicians and operations teams to understand real-world pain points and rapidly prototype solutions.
• Establish quality guardrails to ensure safety, compliance, and trust in patient-facing outputs.
• Contribute to broader product development beyond prompts—helping with data pipelines, integrations, and deployment.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field (or equivalent startup experience).
• Proficiency in Python and/or JavaScript/TypeScript for scripting, automation, and API integration.
• Hands-on experience with large language models (OpenAI, Anthropic, etc.) and prompt design.
• Familiarity with fine-tuning workflows (data preprocessing, evaluation metrics, supervised/LoRA training, or similar).
• Strong problem-solving skills and creativity in working with language and workflows.
• Excellent communication skills to translate between technical, clinical, and operational needs.
• Comfort operating in a fast-paced startup environment with limited structure.

Preferred Qualifications

• Experience with healthcare data standards and workflows (EHR, HL7/FHIR, insurance claims).
• Knowledge of cloud platforms (AWS, GCP, Azure) and deployment best practices.
• Familiarity with compliance frameworks (HIPAA, SOC 2).
• Experience working cross-functionally in small teams where responsibilities overlap.

What We’re Looking For

• Entrepreneurial mindset — resourceful, adaptable, and eager to experiment.
• Excitement about applying AI to reduce friction in healthcare access and operations.
• Willingness to roll up your sleeves and contribute wherever needed — from prompt design to coding to dataset prep for fine-tuning.