Job description

Job Title: AI Engineer Location: New York, NY, Atlanta, GA, or Remote, USA Exemption Status: Full-time, exempt Who We Are Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need. With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care. Job Summary 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. 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 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-Have 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 The base salary range for this role is $130,000 - $170,000. Where you land within the range will reflect your skills, experience, and location, while keeping team parity in mind and leaving room for future growth. Important Notice To protect candidates, please note that all communication from our team will come directly from an @impiricus.com email address. We do not engage third party recruiters to schedule interviews for this role. If you receive outreach from anyone outside of our domain claiming to represent Impiricus, please disregard and let us know by forwarding the message to careers@impiricus.com Benefits Impiricus focuses on taking care of our teammates’ professional and personal growth and well-being. Healthcare : Medical, dental, and vision coverage for you and your dependents + on-demand healthcare concierge HSA, FSA & DCFSA : Pre-tax savings options for healthcare and dependent care, with monthly employer contributions to HSA (if enrolled in a high-deductible plan) Coverage & Protection : 100% paid short- and long-term disability, plus life and AD&D insurance Flexible Time Off : Take the time you need with a flexible vacation policy — recharge your batteries your way Parental Leave : Paid parental leave to spend time with your newborn, adopted, or foster child (available after 6 months) Your Work, Your Way : If you’re close to an office, we encourage spending some time in-person to collaborate and connect. If not, remote is always an option. Home Office Setup : We’ll ship you the gear you need to create a comfortable workspace at home. 401(k) : Save for your future with tax advantages (and company match!) Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Requirements

Must-haves

Job Title: AI Engineer
Location: New York, NY, Atlanta, GA, or Remote, USA
Exemption Status: Full-time, exempt
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
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
Where you land within the range will reflect your skills, experience, and location, while keeping team parity in mind and leaving room for future growth.
Important Notice

Application prep

Use the role’s language and application details while tailoring your materials.

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Benefits

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Dental

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401(K)

Parental Leave