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Clinical AI Engineer - Python
JOB SUMMARY
Roles
Job details
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 objectivesLeading and mentoring a team of AI engineers in developing cutting-edge AI applicationsCollaborating 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 projectsPresenting technical concepts and project updates to non-technical stakeholdersEnsuring that best practices and coding standards are maintained throughout the development processDeveloping Python code and AWS infrastructure that works together to build advanced clinical AI systemsYou 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 processingExperience using the OpenAI API to interact with LLMsKnowledge of Infrastructure-as-Code (e. g. , TerraForm)Strong experience in software architecture and system designPrevious experience working in a clinical design/delivery contextExcellent problem-solving skills and ability to work under pressureStrong communication skills, capable of conveying complex ideas clearly and conciselyA collaborative spirit and a passion for innovation in AI technologyDocMe360 ValuesDelivery: Commit to a culture of honesty, transparency, unwavering integrity, and professional growthOptimism: Invest in professional growth and well-beingCollaboration: Foster teamwork and shared expertise to achieve successMotivation: Inspire and energize clients with passion and purposeExploration: Seek out opportunities for innovative technologies that align with
our mission
Requirements
2+ years of experience in AI/ML engineering or related fields5+ years of experience in full-stack engineeringExpertise in AI Solutioning, with the ability to identify off-the-shelf AI tools and services to accelerate development cyclesFamiliarity with the eco
System
of vector databases, deployment frameworks, and monitoring toolsExperience with cloud platforms (AWS, GCP, or Azure) for deploying AI modelsU. S. citizenship and ability to obtain a federal 'public trust' security clearanceBachelor's Degree in Computer Science or similar field, Master's Degree preferable
Benefits
Health Care Plan (Medical, Dental Vision)Retirement Plan (401k, IRA)Paid Time Off (Vacation, Sick Public Holidays)Family Leave (Maternity, Paternity)Training DevelopmentWork From Home.
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 objectivesLeading and mentoring a team of AI engineers in developing cutting-edge AI applicationsCollaborating 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 projectsPresenting technical concepts and project updates to non-technical stakeholdersEnsuring that best practices and coding standards are maintained throughout the development processDeveloping Python code and AWS infrastructure that works together to build advanced clinical AI systemsYou 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 processingExperience using the OpenAI API to interact with LLMsKnowledge of Infrastructure-as-Code (e. g. , TerraForm)Strong experience in software architecture and system designPrevious experience working in a clinical design/delivery contextExcellent problem-solving skills and ability to work under pressureStrong communication skills, capable of conveying complex ideas clearly and conciselyA collaborative spirit and a passion for innovation in AI technologyDocMe360 ValuesDelivery: Commit to a culture of honesty, transparency, unwavering integrity, and professional growthOptimism: Invest in professional growth and well-beingCollaboration: Foster teamwork and shared expertise to achieve successMotivation: Inspire and energize clients with passion and purposeExploration: Seek out opportunities for innovative technologies that align with
our mission
Requirements
2+ years of experience in AI/ML engineering or related fields5+ years of experience in full-stack engineeringExpertise in AI Solutioning, with the ability to identify off-the-shelf AI tools and services to accelerate development cyclesFamiliarity with the eco
System
of vector databases, deployment frameworks, and monitoring toolsExperience with cloud platforms (AWS, GCP, or Azure) for deploying AI modelsU. S. citizenship and ability to obtain a federal 'public trust' security clearanceBachelor's Degree in Computer Science or similar field, Master's Degree preferable
Benefits
Health Care Plan (Medical, Dental Vision)Retirement Plan (401k, IRA)Paid Time Off (Vacation, Sick Public Holidays)Family Leave (Maternity, Paternity)Training DevelopmentWork From Home.
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DocMe360 United States
