Clinical AI Engineer - Python

DocMe360•Arlington, VA

2h•Remote

About The Position

As a Clinical AI Engineer at DocMe360, you will play a pivotal role in shaping the future of our clinical AI solutions for the Department of Veteran Affairs. You will lead the design, development, and implementation of advanced AI architecture and algorithms, utilizing Python as your primary programming language. Your expertise will drive the innovation of clinical AI systems at the VA, enhancing client products and streamlining operations for Veterans and clinicians. This role requires strong leadership abilities, as you will mentor engineers, collaborate with cross-functional teams, and interact with clients to understand their needs. You will also be responsible for creating AI solutions for the Department of Veteran Affairs software systems, ensuring scalability, reliability, security, accessibility and performance.

Requirements

Extensive experience with Python, including backend Python frameworks (e.g., FastAPI, Flask, etc.)
Deep understanding of AWS AI infrastructure, data structures, and data processing
Experience using the OpenAI API to interact with LLMs
Knowledge of Infrastructure-as-Code (e.g., TerraForm)
Strong experience in software architecture and system design
Previous experience working in a clinical design/delivery context
Excellent problem-solving skills and ability to work under pressure
Strong communication skills, capable of conveying complex ideas clearly and concisely
A collaborative spirit and a passion for innovation in AI technology
2+ years of experience in AI/ML engineering or related fields
5+ years of experience in full-stack engineering
Expertise in AI Solutioning, with the ability to identify off-the-shelf AI tools and services to accelerate development cycles
Familiarity with the ecosystem of vector databases, deployment frameworks, and monitoring tools
Experience with cloud platforms (AWS, GCP, or Azure) for deploying AI models
U.S. citizenship and ability to obtain a federal 'public trust' security clearance
Bachelor's Degree in Computer Science or similar field, Master's Degree preferable

Responsibilities

Designing and building clinical AI infrastructure that achieve business objectives
Leading and mentoring a team of AI engineers in developing cutting-edge AI applications
Collaborating with the product manager, UX researcher/designer and stakeholders to define AI project requirements
Researching and evaluating new AI technologies and methodologies to implement in projects
Presenting technical concepts and project updates to non-technical stakeholders
Ensuring that best practices and coding standards are maintained throughout the development process
Developing Python code and AWS infrastructure that works together to build advanced clinical AI systems