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Full Stack AI Engineer; Python – Healthcare

Remote / Online - Candidates ideally in
Hialeah, Miami-Dade County, Florida, 33002, USA
Listing for: Artificial Generalized Intelligence Solutions (AGIS)
Full Time, Remote/Work from Home position
Listed on 2026-05-30
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Full Stack AI Engineer (Python) – Healthcare

Job Title:
Full Stack Engineer (Python) – Healthcare

Skills Required:
Python, REST API, SQL, Writing AI Prompts, Integrating to LLM Apis, HTML5, CSS3, Javacript

Location: Remote (Southeast, Florida Preferred)

Job Type: Full-time

Experience Level: Mid+

Overview

AGIS is looking for a talented and detail-oriented full stack engineer with strong experience with Python and working with LLM Apis serving patients in the Healthcare industry.

You’ll work closely with and be the bridge between the product management team and clients to build AI assisted healthcare solutions.

Responsibilities
  • Integrate AI services (LLMs, OCR, document processing, STT & TTS, or classification systems) into new and existing application architectures
  • Adjust, refine, and version AI prompts and workflows to improve accuracy, reliability, and real‑world performance in production systems
  • Develop high‑quality, reusable UI components using modern JavaScript frameworks
  • Collaborate with designers, peers, and product management to deliver consistent, elegant experiences
  • Thoroughly test and debug code, participate in code reviews, provide documentation, and ensure systems meet healthcare‑grade requirements
  • Participate in testing, code reviews, and documentation
Requirements
  • 3â6+ years of experience building APIs and production‑grade services
  • Hands‑on experience integrating 3rd party APIs
  • Prompt design and iteration for LLM‑based systems
  • Strong proficiency with Python, Flask and building APIs
  • Experience with modern web development (HTML, CSS, JavaScript, and preferably at least one modern frontend framework or jQuery‑based production stacks)
  • Comfort working across multiple codebases and projects simultaneously
  • Familiarity with databases (SQL and/or No

    SQL) and data modeling for real‑world applications
  • Attention to detail and strong testing experience with a focus on optimal patient experience in mind
Nice to Have
  • Experience in healthcare, compliance, or regulated environments
  • Experience with LLMs at the API level – writing basic prompts and troubleshooting invalid responses
  • Familiarity with automated testing frameworks (e.g., Jest, Cypress)
  • Knowledge of authentication/authorization patterns (JWT, role‑based access control)
  • Experience with monitoring, logging, and production debugging
  • Some NodeJS Experience (For Cross Training)
  • Understanding of LLM Technology – Under‑the‑hood (Cosine similarity)
  • Vector Database Experience
  • Experience with OCR/STT/TTS or classification systems
What You’ll Build
  • Phone based Scheduling Agentic AI
  • Integrations to Patient/Provider Data Sources
  • Human Data Interfaces (Query‑any‑source)
  • Python based services and APIs powering healthcare automation and data migration
  • Secure, compliant systems designed for real‑world, real‑time healthcare usage
  • Engineering class UI components to support operational workflows to be embellished by UX specialists
About Us

AGIS is a cutting‑edge, rapidly growing artificial intelligence company delivering proven, real‑world AI solutions across healthcare, gaming, retail, government, and education.

At AGIS, you will work alongside a highly technical, execution‑focused team in a fast‑paced environment where ownership, initiative, and results matter.

If you want to help shape the future of applied AI in healthcare, this role offers a unique opportunity to grow with a company at the forefront of the industry.

You’ll Experience
  • Competitive salary + compensation structure
  • Flexible working hours and with remote work options
  • Opportunity to grow within a fast‑growing scale‑up
  • Meaningful Work – Providing Best in Class Care to Radiological Patients
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