> Markdown version of [/jobs/ext/2617920-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2617920-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** OptimizeRx Corporation - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $105,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Clinical Data Repository, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Electronic Medical Records, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d2b9445656c7c63f ## About the Role * Bachelor's degree in a quantitative field (Computer Science, Mathematics, Engineering), or scientific field with strong math/programming coursework; Masters, MD, or PhD preferred * 2+ years of AI experience, deploying models into production * 2+ years' experience working with healthcare data such as electronic medical records, medical claims, prescription drug claims, affiliation data, or other life sciences commercial or clinical data * 2+ years of hands-on experience with Python, OpenAI/Anthropic SDKs, LLMs, Agentic frameworks (Langchain, etc.), Machine Learning frameworks (sklearn, pytorch, etc.) * Excellent communication skills, both written and verbal; able to cater to both technical and non-technical audiences * Strong ability to arrive at actionable insights by combining data/analytics with healthcare research and business trends and features * Strong influence and collaboration skills and adept in navigating across sales, analytics, and consulting teams ## Description As an AI Engineer, your primary responsibility is to build AI products that enhance OptimizeRx's ability to serve our healthcare marketing customers. You'll build LLMs, Agentic applications, and apply structured machine learning to better match patients and physicians with the life-improving treatments they need to know about. You'll help our customers build target audiences, then measure the impact of these audiences and optimize campaigns in-flight. And you'll be a part of new product innovation in the AI/Healthcare/Pharmaceutical space as the company evolves over time. You'll be part of the team responsible for omni-channel analytics supporting the growing roadmap of analytic capabilities and products. Primary Responsibilities * Lead the application of AI modeling techniques to build, maintain, and enhance medical condition diagnosis, treatment initiation, disease and treatment progression models * Build and iterate on Agentic applications * Design test-and-learn strategies for A/B, test-vs- control, and multivariate/statistical tests across digital/CRM channels to identify causal impact and iteratively improve performance through key learnings including cross channel and multi-touch attribution impact * Utilize data modeling and machine learning to optimize marketing campaigns, improve customer experience, and increase operational efficiency * Build and tune real time models that predict next best action * Collaborate with cross-functional teams and clients to understand their objectives and deliver data-driven solutions and recommendations. * Develop processes and tools to monitor and analyze model performance and data accuracy * Present data-driven insights to stakeholders in a clear, understandable, and actionable manner * Partner with internal and client teams to support models which support strategic and tactical marketing investment recommendations for our clients. * Create and conduct presentations and read outs in collaboration with project principals and engagement leaders * Utilize consumer and physician level data to conduct advanced modeling for customer profiling, driver analyses, customer segmentation, targeting, media lift measurement, and optimization projects. * Research, propose and implement innovative solutions to enhance our tools, processes, and analytics capabilities. * Coach data scientist and consulting team members on the use and application of AI techniques for omni-channel media analytics * Other duties as assigned ## Related Videos - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)