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.

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.

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.

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.