AI Engineer

Summary

Impiricus is an AI-powered HCP Engagement Engine serving life sciences companies and healthcare professionals. The AI Engineer will develop and deploy practical AI solutions across internal tooling, platform capabilities, and existing products, including LLM-powered applications, evaluation frameworks, secure infrastructure, and AI-enabled workflows.

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

Skills

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

Qualifications

Must Haves

• 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)
• Experience working in high-growth tech companies or research labs
• Familiarity with healthcare data is a plus, but not required

Benefits

• Medical, dental, and vision coverage for you and your dependents + on-demand healthcare concierge
• Pre-tax savings options for healthcare and dependent care, with monthly employer contributions to HSA (if enrolled in a high-deductible plan)
• 100% paid short- and long-term disability, plus 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)
• Remote work option for employees who are not close to an office; employees close to an office are encouraged to spend some time in-person
• Home office setup: Impiricus will ship the gear needed to create a comfortable workspace at home
• 401(k) with tax advantages and company match