AI Engineer

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.

About the Role

As an AI Engineer at Rula, you will play a critical role in shaping the future of AI-assisted therapy by designing, deploying, and scaling generative AI solutions that directly impact patient care. This role is highly cross-functional—you’ll collaborate closely with teams across Product, Data Engineering,, and Application Engineering, to integrate cutting-edge AI into our platform in ways that are ethical, reliable, and impactful.

In this role, you will own the full lifecycle of GenAI solutions: from prototyping and building scalable data pipelines, to developing and testing and ensuring the solutions meet Rula’s high quality standard, to deploying production-ready GenAI solutions and monitoring their performance. Success in this role means balancing innovation with operational excellence—experimenting with new approaches while ensuring deployed solutions are robust, cost-effective, and compliant with privacy and regulatory standards in mental health.

Initially, you’ll jump into the role building early prototypes that work towards delivering AI features into production. Over time, you’ll expand the impact of AI across the organization by creating reusable frameworks, optimizing performance, and identifying new opportunities to enhance both our platform and patient outcomes.

This is an opportunity to lead the way in bringing next-generation AI capabilities to mental health care—transforming therapy experiences for providers and patients alike.

Required Qualifications

• 8+ years in software engineering, data engineering, or platform engineering/infra

• 5+ years of experience with Python

• 7+ Experience with Public Cloud (AWS, GCP, etc.)

• 5+ years of experience deploying and managing software configuration, build, and deployment processes (CI/CD pipelines) and associated tools

• 1+ years of experience with building production-ready, AI-powered products at scale to include hands-on experience with foundational AI models (OpenAI, Anthropic, AWS Bedrock), orchestration and safety frameworks (Langchain, Llamaindex), and vector databases (Pinecone, MongoDB, Milvus)

• Experience collaborating with Data Engineering teams to build scalable data pipelines

• Strong and effective communicator

Preferred Qualifications

While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement.

• Familiarity with Typescript

• Experience working in Healthcare or other regulated environments

• Familiarity with even-driven architectures

• 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 (US-based only): Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments

• 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.

Source: Jobspresso (https://jobspresso.co/job/ai-engineer/)