Staff AI Engineer - Foundation (Remote)

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. This role sits at the center of product innovation and engineering execution, with the chance to influence both what we build and how we build it.

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.

- 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.)

- 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.

- Bachelor’s degree or above in Machine Learning, or related field.

- 5+ years of 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 contributing to early-stage team growth (0 → 1)