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Posted Mar 31Staff AI Engineer - Foundation (Remote)
at Rula
United StatesRemote
Requirements
- About the Role We’re hiring a Staff AI Engineer to lead some of Rula’s most important applied AI investments as we scale.
- You’ll own technical direction for high-impact AI products, work across teams to turn big ideas into shipped systems, and help raise the bar for how we build, evaluate, and operate AI in production.
- It’s a strong fit for someone who loves operating in fast-moving environments, wants to drive outsized impact, and is excited to help define the future of AI at Rula. Required
- Qualifications - 8+ 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) - 5+ years of deep
- experience in Python and 2+ years with at least one backend language (preferably JavaScript, TypeScript, Java, or Go) - Hands-on
- experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.) -
- - 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.
- - Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement.
- - Bachelor’s degree or above in Machine Learning, or related field. Preferred
- experience with public cloud (AWS, GCP, etc.), 2+ 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
- Qualifications - 5+ years of
Benefits
- 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.