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Sr. AI Engineer

Rula

🌍 North America 🏠 Remote ⏱ Part-time 💼 Senior 🗓 2 weeks ago

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 hum...

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