Essential Responsibilities • Support AI feature development: Contribute to AI capabilities for retrieval, ranking, categorization, and generative AI features on unstructured healthcare data, following established patterns and best practices. • Participate in AI projects: Work collaboratively on AI projects from requirements gathering through deployment, supporting stakeholders in delivering models and software that meet business objectives with guidance from senior engineers. • Assist in model implementation: Help build reliable AI systems for production environments, learning proper monitoring and operational practices for deployed models while ensuring quality standards. • Apply established methodologies: Use appropriate evaluation datasets, metrics, and model architectures following team guidelines to build effective AI solutions that connect to business outcomes. • Learn and collaborate: Work closely with product managers, senior engineers, and other team members to integrate AI capabilities, while actively developing your technical skills and contributing to team knowledge sharing. Education Level Bachelor's - Equivalent experience will be considered in lieu of a degree Experience Level Minimum of 2 years of experience • Experience working with AI/ML systems in production environments, including exposure to search, ranking, or generative AI applications • Familiarity with prototyping new AI solutions and contributing to projects that moved from concept to implementation • Understanding of AI development lifecycle components, from model selection through basic productionization with senior guidance • Growing experience in connecting technical modeling work with business value through collaboration with stakeholders • Hands-on experience with tools like PyTorch, TensorFlow, and working with pre-trained models from platforms like Hugging Face, plus exposure to deployment tools such as Databricks, AWS Bedrock, or Azure ML Licenses and Certifications Skills Physical Demands •Writing •Reading •Walking •Sitting •Extended Computer Usage •Carrying •Lifting 5lbs •Traveling 25% Working Environment •On-Site Corporate •Remote •Noise Level -Moderate •Climate Controlled •Well lit For this US-based position, the base pay range is $160,000.00 - $200,000.00 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training. This job is eligible to participate in our annual bonus plan at a target of 20.00% The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package. R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories. If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance. CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent To learn more, visit: R1RCM.com Visit us on Facebook

• Attend and complete the Flatiron School Data Science & AI Bootcamp as part of the apprenticeship • Contribute to software projects for your host company • Write clean, maintainable and testable code using modern frameworks and tools • Collaborate in sprint-based workflows and participate in code reviews • Support feature development, debugging, documentation, and QA processes • Build your portfolio of production-level work while growing your technical and collaborative skills • Receive ongoing mentorship from senior developers and product leaders

• Complete Flatiron School’s Software Engineering (full-time) and Data Science (part-time) bootcamp programs • Contribute to real software projects during a paid apprenticeship with an employer partner • Collaborate in sprint-based workflows and participate in code reviews • Build a portfolio of production-level work • Receive mentorship from experienced engineers and product leaders

We believe conversations will become the #1 way to shop. At Gorgias, we’re building the platform that makes this real: a unified AI agent that sells, supports, and re-engages customers across the entire journey. Conversational Commerce is the future of ecommerce, and we’re leading that shift. Our mission is to turn every interaction between a brand and its customers into a relationship: personal, seamless, and intelligent. By combining deep product expertise with the latest in AI, we’re making shopping feel more natural, human, and connected than ever before. To win, we focus relentlessly on: - Quality: conversations that feel authentic and on-brand. - Experience: effortless shopping from chat to checkout. - Re-engagement: personal, 1-1 dialogue instead of noisy marketing. The opportunity is massive. As AI reshapes how people buy, Gorgias is building the foundation for the next decade of ecommerce, where every brand has its own intelligent agent and every customer feels understood. Join us to make Conversational Commerce real. Team & Context Gorgias is an AI-first company building products powered by LLMs and agent-based systems. As we scale our AI capabilities, we need to improve how we evaluate, iterate, and operate these systems in production. Today, parts of this process remain manual or fragmented, especially around prompt iteration, validation, and evaluation workflows. This role will focus on building and scaling the systems that support AI evaluation and iteration, helping the team move faster and more reliably. About the Role You’ll have a chance to: - 🤖 Work on production AI systems used by thousands of businesses - 🧠 Define how we evaluate and improve AI performance at scale - 🏗️ Build internal platforms and tooling used by AI and engineering teams - 📈 Reduce manual processes and improve iteration speed on AI features - 👥 Collaborate across AI, ML, and product teams - 🧑‍🏫 Raise the engineering bar and mentor others What You’ll Do - Design and build systems for evaluating AI performance (offline and online) - Develop workflows and tooling for prompt iteration and validation - Improve the reliability, scalability, and observability of AI systems in production - Work closely with ML Engineers and AI Engineers to integrate evaluation into development workflows - Collaborate with product teams to ship AI-powered features - Take ownership of systems end-to-end, from design to production and monitoring - Contribute to improving engineering practices around AI development and evaluation - Mentor engineers and help structure how the team approaches AI engineering Who You Are - 8+ years of experience in software engineering - Strong backend engineering background - Experience building and scaling production systems - Experience working with AI systems (LLMs, agents, or similar) You likely come from one of the following backgrounds: - Staff or senior software engineer who has moved into AI systems - Engineer working on applied AI products in production - Experience building internal platforms or developer tooling What You’ll Do 1. Architect the Evaluation "Factory" - End-to-End Platform Ownership: Architect and lead the development of our internal evaluation platform, moving the needle from manual testing to a fully automated lifecycle (from LLM-as-a-judge creation to production monitoring). - Accelerate Time-to-Market: Directly impact our primary KPI by designing tools and workflows that drastically reduce the time it takes to deliver a calibrated, production-ready agent. - Infrastructure Collaboration: Partner with the Orchestration team to build the robust, scalable infrastructure required to run complex evals and agentic simulations at scale. 2. Scaling AI Expertise - Squad Empowerment: Serve as the "AI Technical Lead" for product squads, guiding them through the complexities of agent design, failure analysis, and prompting best practices. - Decentralize Quality: Instead of being a bottleneck, you will build the "paved road" that allows product squads to become autonomous in measuring and maintaining their own agent quality. - Standard Setting: Define what "good" looks like for AI at [Company Name]. You’ll translate non-deterministic AI behavior into predictable engineering metrics that the whole organization can trust. 3. Engineering Leadership - Mentor & Level Up: Bridge the gap between traditional software engineering and AI. You’ll mentor engineers on how to apply rigorous system design to the world of LLMs and agents. - Continuous Observability: Take ownership of the feedback loop, ensuring that production insights from our agents directly inform the next iteration of our evaluation datasets. Who You Are - 8+ Years of Engineering Excellence: You are a Staff-level engineer first. You’ve built systems that handle high scale, and you know how to architect for long-term maintainability and performance. - Agentic Curiosity: You’ve moved beyond the "chatbot" phase and are actively experimenting with AI Agents. You understand that the challenge isn't the prompt, but the orchestration, state management, and reliability of the agent's actions. - Systems Thinker (Non-Deterministic Mindset): You recognize that AI is probabilistic. You are excited by the challenge of building deterministic "wrappers" and Evaluation loops around models to make them safe for production. - The "Applied" Edge: You likely come from a background in distributed systems, internal platforms, or developer tooling, and you're now applying that rigor to the AI stack. What We’re Looking For - Beyond the Wrapper: You have serious experience moving beyond simple API calls to architecting multi-stage AI orchestrations (agents, chained workflows, or custom runtime logic). - Orchestration Experience: Even if you aren't an AI researcher, you have experience building complex, multi-step workflows (e.g., temporal systems, state machines, or event-driven architectures) and want to apply this to Agentic loops. - Reliability Obsession: You understand why "vibes-based" testing doesn't work. You’ve started exploring or building Eval frameworks to measure how models perform against real-world data. - Infrastructure Mindset: You are comfortable with the "glue" that makes AI work: vector databases, semantic caching, and API integration with third-party tools. Tech Stack & Experience - Strong backend experience (Python preferred) - Experience with distributed systems and event-driven architectures - Familiarity with tools like Kafka, Pub/Sub, or equivalent - Experience working with LLMs (prompting, RAG, agents, evaluation workflows) - Experience building APIs and scalable services - Understanding of monitoring, observability, and system performance Hiring Process - Recruiter phone screen - HM Interview - System Design Interview - AI Case Study (take-home, ~1–2 hours) - Technical Deep Dive of case study - Final Leadership Interview Perks and Benefits - 💰Competitive salary & equity (90th percentile worldwide, go check our public salary calculator) - 🏖️ 5-week vacation plus 2 weeks RTT (We follow each country's appropriate PTO Laws) - 🤕 Paid sick leave - 🧸 Paid parental leave (16 weeks) - 💻 MacBook Pro - 🍽️ Personal credit card to buy lunches (we use Swile) - 🏥 We provide private health insurance (we use GAN) - 💆🏻‍♀️ Get up to €700 to set up your workstation at home (working from home should feel breezy) - 📚 Get up to €2000 of learning material and wellness support per year! This includes €1500 for learning material (such as books, courses, and individual coaching sessions) directly linked to your job scope, as well as a €500 wellness budget. Take advantage of these resources to grow in your role and prioritize your personal development and wellness. - 🥰 Every quarter, we organize an online company-wide summit to discuss where we’re going and strengthen social bonds. Once per year we organize offsite team retreats and company retreats! AI at Gorgias At Gorgias, AI is a natural extension of how we work and build. Our teams use it every day to research, write, analyze, code, and craft better customer experiences. Everyone has access to premium AI tools (ChatGPT, Claude, Granola & others) and an annual L&D budget to explore new ones. The real magic happens when we share what we learn. Our #powerup Slack channel is a digital petri dish of new tools and workflows, and each team has AI champions who showcase fresh ideas during weekly company-wide standups, now practically AI demo sessions. We see AI not as a replacement for creativity or empathy, but as a multiplier, helping us move faster, think deeper, and serve customers better. AI use in Recruiting at Gorgias By submitting your application, you agree that Gorgias may collect and process your personal data for recruiting, workforce planning, and related purposes. For more information about how we process your data and your rights, please refer to our Applicant Privacy Policy. Diversity & Inclusion at Gorgias We’re committed to creating an inclusive environment where everyone can thrive. We welcome applicants from all backgrounds, experiences, and perspectives because diverse teams drive innovation and better decision-making. If you need accommodations during the application or interview process, please contact us at accommodation@gorgias.com.