> Markdown version of [/jobs/ext/573985-ai-engineer](https://www.wearedevelopers.com/jobs/ext/573985-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:** Rogers Healthcare Consulting - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $200,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Engineering, Unstructured Data, Large Language Models, AI Platforms - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4f7066979f409cee ## About the Role Do you have experience in Tooling?, * 7+ years of professional software engineering experience, with meaningful depth in AI/ML. * Experience training, fine-tuning, or evaluating LLMs and open source models, with real opinions about what works and what does not. * Shipped real AI software to real users. You can describe something you built, what broke, and how you fixed it. * Strong instincts for evals, observability, and the feedback loops that turn user feedback into measurable improvement. * Experience building agentic systems: tool use, generator and critic loops, planners and executors, and orchestration where one agent's output drives another's work. * Comfort building infrastructure that is fast, reliable, and cost-efficient at scale. * Startup experience shipping real features in high-growth environments. * A product mindset, comfort across the stack, and the ability to operate in ambiguity without a clean spec. * High standards for reliability and accuracy when real clinicians and patients depend on your work. ## Description Roger is an AI platform that frees home health clinicians from paperwork so they can focus on what matters: delivering life-changing care to our most vulnerable elderly patients in the comfort of their homes. Backed by leading healthcare investors like SignalFire, we've powered millions of visits, deployed to thousands of clinicians, and we're just getting started. The administrative work behind home health is messy, unstructured, and high-stakes. From clinical documentation to the operational busywork that organizations serving these vulnerable populations face every day, turning dense, nuanced information into accurate records requires LLM systems that extract structure from unstructured data, validate their own outputs, learn from a vast and growing dataset, and continuously improve in accuracy., * Train and fine-tune open source models, leveraging our vast proprietary dataset to push accuracy beyond what off-the-shelf models can do. * Build eval datasets and pipelines that let us measure model accuracy rigorously and improve it continuously. * Design how we measure accuracy in the first place: the metrics, harnesses, and feedback loops that turn real clinical outcomes into measurable model improvements. * Build scalable, cost-efficient inference infrastructure with great monitoring and observability. * Build better agentic infrastructure and partner on the interfaces that turn model capability into a great clinician experience. * Stay at the frontier: keep up with the latest research, frontier model capabilities, and open source frameworks, and bring the best of it into production. * Prototype quickly, then harden into scalable, secure, and reliable production systems. ## Related Videos - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [The Avengers Initiative (Practical Ethics for Software Engineers)](https://www.wearedevelopers.com/videos/2070-the-avengers-initiative-practical-ethics-for-software-engineers) - [The Deichmann RPA journey: Step by step with low-code automation to success](https://www.wearedevelopers.com/videos/1566-the-deichmann-rpa-journey-step-by-step-with-low-code-automation-to-success) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [Knowledge graph based chatbot](https://www.wearedevelopers.com/videos/754-knowledge-graph-based-chatbot) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [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)