Impiricus
AI Engineer
- Confirmed live in the last 24 hours
- $130k–$170k
- Mid level
- Full-time
- New York, NY, Atlanta, GA, or Remote, USA
- 3+ yrs exp
- Added 1 month ago
About this role
Impiricus is seeking a hands-on AI Engineer to develop and deploy AI solutions across internal tooling, platforms, and products. You'll work on LLM-powered applications, evaluation frameworks, and scalable AI infrastructure, collaborating with cross-functional teams in a fast-growing healthcare technology company.
What you'll do
- Develop and enhance internal AI tooling, platform capabilities, and AI-enabled product features
- Build LLM-powered solutions using prompt engineering, RAG, agentic workflows, and generative AI
- Create and maintain evaluation harnesses, benchmarks, and testing frameworks for AI quality and performance
- Apply ML algorithms including regression, tree-based methods, and neural networks to solve business problems
- Design secure, scalable AI architecture and DevOps leveraging AWS services
- Collaborate with product, data engineering, and software teams to align AI initiatives with business goals
What they're looking for
- Backend software development with AI/ML focus
- Generative AI and prompt engineering
- Machine learning algorithms and modeling
- AWS infrastructure (EC2, S3, networking)
- Python or similar ML-focused programming languages
- AI evaluation frameworks and benchmarking
- Computer networking and systems design
- RAG and agentic workflow development
Benefits
- Competitive base salary of $130,000–$170,000
- Professional and personal growth opportunities
- Employee well-being programs and support
- Flexible work location (New York, Atlanta, or remote)
- Opportunity to work in high-growth, Deloitte Fast 500 company
- Mentorship and learning in cutting-edge AI space
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Impiricus
Impiricus builds an AI-powered healthcare engagement platform designed for life sciences companies. The company is hiring full-stack software engineers and QA automation engineers to develop scalable digital solutions with LLM workflows and ensure product quality through automated testing frameworks.
- Industry
- Technology & Software
Likely interview questions
- Walk us through a recent project where you built an LLM-powered solution from prompt engineering to production—what challenges did you face?
- How do you approach designing evaluation frameworks and benchmarks for generative AI models?