What are the responsibilities and job description for the AI Prompt & Product Engineer position at Simbie AI?
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
Core Experience
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
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.
- 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.
- 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.
- 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.
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.
- 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.
- 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.
- 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.
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.
- 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.
- 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.
- 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.
Salary : $60,000 - $120,000