Generative AI Engineer
virtual vocationsNew York (NY)
Generative AI Engineer
Posted today
virtual vocationsNew York (NY)
SENIORITY
Senior
About the role
Designing and developing secure generative AI solutions, the full-time Generative AI Engineer will create AI-enabled decision-support capabilities for healthcare clients, collaborating remotely with cross-functional teams to ensure effective implementation and operation.
Key Responsibilities:
Design, develop, and maintain generative AI solutions grounded in authoritative source documentation
Build and maintain document ingestion pipelines for effective data processing and search indexing
Collaborate with project managers and stakeholders to translate user needs into actionable requirements and evaluation criteriaRequired QualificationsMaster's degree in computer science, data science, engineering, or a related field
5+ years of experience in developing software and cloud-based solutions, particularly with LLM or generative AI applications
Strong proficiency in Python and experience with modern LLM APIs and AI/ML libraries
Hands-on experience with AWS AI and data services, including Amazon SageMaker and Lambda
Experience in Agile software development methodologies and building CI/CD pipelines
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.