Overview
Skills
Job Details
Total: 5 positions
For senior roles 10+ years experience required.
Client: prime therapeutics
Hybrid roles
Role: AI Delivery Automation Engineer/Multiple roles ( 5 positions)
Location: Eagan, MN
Duration: Long Term Contract
Candidate needs to be hands on with building and deploying AI solutions preferably in health care domain
Responsibilities:
Develop automation and AI models.
Integrate AI tools into existing systems.
Support full-stack development for AI applications.
Collaborate with architects and product owners
These roles are all ideal for candidates who are interested in building something new - not just being handed instructions. Room to find your niche within healthcare AI and contribute to innovation.
They are all an AWS stack - looking for experience in Bedrock foundation models.
AI Engineering skillset: Generative AI, model adaptation, fine tuning, RAG, Python programming.
AI Developer/Engineer and Delivery Automation Engineer need the same background: Applied AI engineering, Generative AI with some classic Machine Learning, AWS and Python
AI Sustaining Engineer: largely focused on observability, monitoring and maintaining models in production, but not only a prod support team, they are also responsible for enhancements, compliance. This role is for someone who has worked heavily with AI post-production, AI Optimization, AIOps/LLMOps as a focus area.
At least 1 needs very strong experience in core observability using tools like Dynatrace - can act as the "Lead" and train the others on the team.
AI Application Developer: responsible for building the actual AI applications, software. Needs experience in API development, Python, Java preferred (not as concerned about programming languages, strong engineers can be taught). Full Stack Development with AWS cloud experience *asked that we use the same basic tech stack as the rest of Prime and Cloud Team.
AI Business Delivery Cross Over Engineer: looking for someone with a Development background who wants to work on the business/requirements gathering side. Needs to be able to consider a project from the perspective of an AI Engineer to ask the right questions, avoid the right pitfalls. Will be 100% business facing. *she acknowledges this will likely be a difficult role to find.
Marketing Specialist: Important role to her; needs very strong PowerPoint skills, ability to tell a story, able to market AI as a product for prime internally and externally.