Clinical AI Engineer - Python at DocMe360

Arlington, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

0.0

Posted On

28 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS, FastAPI, Flask, OpenAI API, LLMs, TerraForm, Infrastructure-as-Code, Software Architecture, System Design, Clinical Design/Delivery, Problem-Solving, Communication, AI Solutioning, Vector Databases, Cloud Platforms

Industry

IT Services and IT Consulting

Description

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. Your key responsibilities include: 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 You will thrive in this role if you possess: 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 DocMe360 Values Delivery: Commit to a culture of honesty, transparency, unwavering integrity, and professional growth Optimism: Invest in professional growth and well-being Collaboration: Foster teamwork and shared expertise to achieve success Motivation: Inspire and energize clients with passion and purpose Exploration: Seek out opportunities for innovative technologies that align with our mission 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 Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Training & Development Work From Home

Responsibilities

The engineer will lead the design, development, and implementation of advanced clinical AI architecture and algorithms using Python, focusing on solutions for the Department of Veteran Affairs software systems. Key duties include leading and mentoring an AI engineering team, defining project requirements with stakeholders, and ensuring scalability and reliability of the developed AI infrastructure.