Staff AI Engineer (Foundation)

Join Rula as a Staff AI Engineer, where you'll lead high-impact AI products and influence the future of AI at the company. This remote position offers competitive pay and benefits, including a 401(k) plan, medical, dental, and vision insurance, paid parental leave, and more. Ideal candidates have 8+ years of AI/ML development experience, a strong background in Python and backend languages, and experience in regulated environments.

• Lead the technical direction for high-impact AI products, ensuring successful implementation and operation in production.
• Collaborate across teams to transform innovative ideas into tangible AI solutions, driving product innovation and engineering execution.
• Utilize expertise in AI/ML development to design, evaluate, and improve AI systems, ensuring compliance with regulations and industry standards.
• 5+ years of experience with public cloud (AWS, GCP, etc.), 2+ years designing and scaling distributed systems
• Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability
• Deep understanding of AIOps, data pipelines, evaluation, and observability systems for continuous model improvement
• 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.)
• Experience delivering secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.)
• Strong and effective communication skills
• 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)
• Bachelor’s degree or above in Machine Learning, or related field
• 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)
• 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)
• Familiarity with human-in-the-loop systems and clinical decision support frameworks