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AI Prompt & Product Engineer
AI Prompt & Product EngineerSimbie AI • New York, NY, US
AI Prompt & Product Engineer

AI Prompt & Product Engineer

Simbie AI • New York, NY, US
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Overview

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. You'll experiment with multi-agent setups, refine intake flows, pressure-test the platform, and 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 core workflows worth automating.
  • Break down complex problems into phased rollouts to 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.
  • Note : This posting reflects the opportunity as described. Referrals and location details may appear within the page but are not part of the role description.

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