Junior AI Engineer – Healthcare Innovation

Role Overview

Join AbbaDox, a leading healthcare SaaS company transforming radiology operations through AI-powered automation and intelligent workflows. As an Junior AI Engineer, you’ll work directly with our senior technology leaders to design and deploy next-generation AI agents that leverage generative AI, voice, and image processing. This is a unique opportunity to contribute to real-world solutions that streamline healthcare delivery, enhance patient experience, and shape the future of outpatient imaging.

Key Responsibilities

Collaborate with cross-functional teams to define user needs and business goals for AI agents in healthcare/radiology environments.
Build, iterate, and maintain AI agents capable of understanding and generating voice, text, and image data to automate critical workflows.
Develop, test, and optimize prompts for LLMs integrated into AI agents, with a focus on multimodal (voice and image) capabilities.
Work with APIs, tools, and Model Context Protocol (MCP) to integrate third-party services and expand agent functionality.
Design and implement robust data pipelines; ingest, cleanse, and transform large and diverse datasets to power AI features.
Use Python and SQL to support agent automation, analytics, and backend integration.
Evaluate agent performance; analyze multimodal outputs (transcriptions, image analysis, etc.) and refine as needed.
Document workflows, prompt strategies, and agent architectures for internal teams.
Support efforts to improve data security, compliance, and responsible AI use.

Required Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field, or equivalent practical experience.
1+ years experience (including academic or internship) in Python and SQL for AI or data engineering and scripting.
Experience or coursework in AI, NLP, voice technologies, or image processing.
Understanding of building, configuring, or deploying AI agent frameworks (e.g., using APIs, tool integrations, or MCP).
Demonstrated ability to work with multimodal data (voice, images, and text).
Strong analytical, problem-solving, and communication skills.
Detail-oriented and able to document and communicate technical processes clearly.

Preferred Qualifications

Experience working with voice APIs (e.g., speech recognition/generation), image processing libraries, or ML Ops tools.
Exposure to healthcare IT systems or regulatory compliance (HIPAA).
Awareness of AI ethics, bias, and responsible AI development.

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