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Sr. Staff AI Engineer - Applied AI (Remote)

Rula

  • United States, United States
  • Remote
  • $242,000 - $303,000 a year
  • Posted Aug 8, 2026
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LangChainGoFAISSModel EvaluationAWSJavaLlamaIndexMilvusAnthropicTypeScriptJavaScriptDistributed Systems

Job description

About the role

The Sr. Staff AI Engineer – Applied AI owns the AI foundation at Rula, designing and delivering production‑grade generative AI systems that drive patient engagement, provider workflows, and clinical operations. Working at the intersection of architecture, applied research, and regulated care constraints, the role sets safety and performance standards, defines system architecture, solves complex engineering problems, and mentors other engineers to embed trustworthy AI into everyday mental‑health care.

About the company

Rula is a remote‑first healthtech company focused on mental healthcare, aiming to make mental health care accessible, evidence‑based, and compassionate. Operating in the telehealth and social‑impact space, Rula builds technology that removes stigma and empowers individuals, with a culture emphasizing diversity, equity, inclusion, and positive societal impact.

Requirements

  • 10+ years software engineering experience, including 7+ years with public cloud (AWS, GCP, etc.) and 5+ years designing and scaling distributed systems.
  • 5+ years deep Python experience and proficiency in at least one backend language (JavaScript, TypeScript, Java, or Go).
  • 2+ years proven track record building AI‑powered products at scale with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.).
  • 2+ years strong experience with LLM integration patterns (RAG, function calling, agents, memory routing) or AI orchestration frameworks (LangChain, LlamaIndex, DSPy, Haystack) or vector databases (Pinecone, Weaviate, FAISS, Milvus).
  • 3+ years working with MLOps, data pipelines, evaluation, and observability systems for continuous model improvement.
  • Experience architecting secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.).
  • Familiarity with human‑in‑the‑loop systems and clinical decision‑support frameworks.
  • Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability.
  • Contributions to open‑source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety.
  • Experience contributing to early‑stage team growth (0 → 1).
  • Experience leading or mentoring engineering teams in AI, ML platform, or applied research domains.