• Lead technical delivery for customer Proofs of Concept (POCs) and production pilots • Provide expert advice on inference sizing, configuration, and resource management • Enable field teams by creating reusable assets and reference architectures • Translate technical metrics into business value for stakeholders • Act as a liaison between customers and Product and Engineering teams

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role We’re hiring a Sr. AI Engineer to help bring AI into the core of how Rula builds better mental healthcare experiences. You’ll work closely with product, design, operations, and engineering to ship AI-powered features that solve real problems for patients, providers, and internal teams. Day to day, you’ll move between prototyping, building production systems, improving quality, and learning quickly from real-world usage. This is an exciting role for someone who wants to work on meaningful problems, ship fast with care, and have a direct hand in shaping how AI shows up across a growing company. Required Qualifications - 5+ years of AI/ML development (AI solution design, model design, training / finetuning, deployment and quality upkeep), with track record of product success (i.e. not just in an academic or research environment) - 3+ years of deep experience in Python and 1+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go) - Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.) - Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability. - Strong expertise in LLM integration patterns (RAG, tool/function calling, agents, memory routing, etc.), AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), and vector databases (eg. Pinecone, Weaviate, FAISS, Milvus). - Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement. - Strong and effective communication skills. - Bachelor’s degree or above in Machine Learning, or related field. Preferred Qualifications - 3+ years of experience with public cloud (AWS, GCP, etc.), 1+ years designing and scaling distributed systems. - Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.) - Familiarity with human-in-the-loop systems and clinical decision support frameworks. - Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety. - Experience working in a highly regulated industry such as finance or healthcare - Experience contributing to early-stage team growth (0 → 1) We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Support for your mental and physical health - New hire home office stipend: Set up your workspace for success - Quarterly department stipend: Fund team-building activities or in-person gatherings - Wellness events and lunch & learns: Explore a variety of engaging topics - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.

• Responsible for defining, building, and scaling enterprise AI and Machine Learning solutions aligned to CVS Health’s strategic business objectives • Bridging business strategy and advanced AI engineering • Providing architectural direction, delivery oversight, and leadership across cross‑functional teams including AI engineers, data scientists, product managers, and business stakeholders

About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. We are looking for a passionate and detail-oriented Senior Solutions Engineer with experience in AI-powered automation to streamline operations across Goodleap. In this role, you will design and build automations using tools such as Zapier, N8N, Atlassian JSM, Slack, Zoom, Microsoft 365, and AWS services. You’ll bring efficiency and intelligence into processes by integrating AI-driven features provided by these platforms. The ideal candidate will have a strong foundation in leading discovery initiatives, gathering requirements, designing solutions and implementing them using automation platforms and scripting languages. You will collaborate closely with cross-functional stakeholders to identify opportunities, design robust solutions, and implement automation that reduces manual effort and enhances productivity. Essential Job Duties and Responsibilities - Partner with internal teams (engineering, operations, support, product) to identify repetitive processes and implement scalable, reliable automation solutions. - Design, develop, and maintain automation workflows using tools like Zapier, N8N, Atlassian JSM, Slack and Zoom apps, and AWS Lambda. - Evaluate and integrate AI-powered features of automation platforms to intelligently route, prioritize, and respond to workflows. - Build and maintain dashboards or monitoring solutions to track automation performance and health. - Write custom scripts using JavaScript, Python, or other suitable languages to extend automation capabilities. - Contribute to the documentation and best practices of automation strategies at Goodleap. - Collaborate with security and infrastructure teams to ensure automations comply with enterprise standards. Required Skills, Knowledge, and Abilities - Effective communicator with strong collaboration and problem-solving skills. - 6+ years of software engineering or solution engineering experience. - Proficiency in scripting (e.g., JavaScript, Python, TypeScript). - Hands-on experience with one or more automation platforms such as Zapier, N8N, Workato, or similar. - Experience integrating APIs and webhooks for automation purposes. Bonus Points - Certifications in relevant platforms (e.g., Zapier Expert, AWS Certified Developer). - Experience automating tasks in Slack, Zoom, Atlassian tools, or Salesforce. - Exposure to AI/ML-based automation tools or low-code platforms with AI integrations. - Experience working in fintech, SaaS, or highly regulated industries. - Solutions engineering certifications such as Zapier Expert or AWS Certified Solutions Architect $146,000 - $170,000 a year This role is eligible for cash bonuses and equity incentives. Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.