AI Engineer

Impiricus•Atlanta, NY

19h•Hybrid

About The Position

We’re seeking a highly technical and hands-on AI Engineer to join our growing team. This role will work across internal AI tooling, our internal AI platform, and AI capabilities within existing products, helping bring practical AI solutions into production across the organization. You’ll contribute to a range of applied AI initiatives, from improving existing products and workflows to developing new AI-powered capabilities where appropriate. The scope may include prompt and context engineering, AI security, AI DevOps and hosting, evaluation frameworks, harnesses, benchmarks, and production deployment. We’re looking for someone who is deeply technical, passionate about AI development, and eager to grow with us as we scale.

Requirements

Bachelor’s degree in Computer Science, Mathematics, Physics, or a related STEM field
3+ years of backend software development experience, with strong AI/ML focus
Experience with generative AI technologies, including prompt engineering and API integrations
Solid understanding of ML algorithms (regression models, tree-based algorithms, neural networks)
Proficiency with AWS infrastructure (EC2, S3, networking fundamentals)
Strong foundation in general computer engineering and networking principles

Nice To Haves

Experience with AI research projects (e.g., public health AI applications, LLM fine-tuning)
Background in computer architecture (CUDA, GPU parallelization, compute optimization)
Familiarity with healthcare data is a plus, but not required
Experience working in high-growth tech companies or research labs

Responsibilities

Develop and improve internal AI tooling, platform capabilities, and AI-enabled product functionality, including integrating AI capabilities and APIs into existing products as needed
Build LLM-powered solutions using prompt engineering, context engineering, RAG, agentic workflows, and generative AI
Create and maintain AI harnesses, evals, benchmarks, and testing frameworks to measure quality, reliability, and performance
Apply ML algorithms such as linear regression, logistic regression, tree-based methods, and neural networks where applicable
Contribute to secure, scalable AI architecture, infrastructure, DevOps, hosting, and system optimization leveraging AWS services
Work cross-functionally with product, data engineering, and software engineering teams to align AI initiatives with business needs
Stay current with emerging AI technologies, contribute to engineering best practices, and mentor junior engineers as the team grow

Benefits

Medical, dental, and vision coverage for you and your dependents
On-demand healthcare concierge
Pre-tax savings options for healthcare and dependent care
Monthly employer contributions to HSA (if enrolled in a high-deductible plan)
100% paid short- and long-term disability
Life and AD&D insurance
Flexible vacation policy
Paid parental leave to spend time with your newborn, adopted, or foster child (available after 6 months)
Home office setup
401(k) with company match