Sr. Staff AI Engineer
New
R
RulaMental Healthcare
Remote - United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 10+ years of software engineering, including 7+ years of experience with Public Cloud (AWS, GCP, etc.), 5+ years designing and scaling distributed systems. 5+ years of deep experience in Python and at least one backend language (preferably JavaScript, TypeScript, Java, or Go). 2+ years of proven track record building AI-powered products at scale, including hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.). 2+ years of strong experience in LLM integration patterns (RAG, function calling, agents, memory routing, etc.), or AI orchestration frameworks (eg. LangChain, LlamaIndex, DSPy, Haystack), or vector databases (eg. Pinecone, Weaviate, FAISS, Milvus). 3+ years in working with MLOps, data pipelines, evaluation, and observability systems for continuous model improvement.
- Required Skills
- AWSPythonGCPJavaJavascriptTypeScriptGoNLPMLOpsLangChainHIPAA
Requirements
- 10+ years of software engineering experience
- 7+ years of experience with Public Cloud (AWS, GCP, etc.)
- 5+ years designing and scaling distributed systems
- 5+ years of deep experience in Python
- 5+ years of experience in at least one backend language (preferably JavaScript, TypeScript, Java, or Go)
- 2+ years building AI-powered products at scale
- Hands-on experience with foundation models (OpenAI, Anthropic, Bedrock, Gemini, etc.)
- 2+ years of strong experience in LLM integration patterns (RAG, function calling, agents, memory routing, etc.)
- 2+ years of experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, Haystack)
- 2+ years of experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)
- 3+ years working with MLOps, data pipelines, evaluation, and observability systems
- Experience architecting secure and compliant AI solutions in regulated environments (HIPAA, GDPR, etc.) - Preferred
- Familiarity with human-in-the-loop systems and clinical decision support frameworks - Preferred
- Experience designing evaluation pipelines for human alignment, factual accuracy, or model interpretability - Preferred
- Contributions to open-source AI frameworks or applied research in NLP, healthcare AI, or GenAI safety - Preferred
- Experience contributing to early-stage team growth (0 → 1) - Preferred
- Experience leading or mentoring engineering teams in AI, ML platform, or applied research domains - Preferred
Responsibilities
- Own the AI foundation for mental healthcare, determining how AI is implemented.
- Build durable, production-grade generative AI systems that scale.
- Power patient engagement, provider workflows, and clinical operations with AI.
- Design core AI platforms.
- Set technical standards for safety, reliability, and performance.
- Make principal decisions on introducing advanced AI into a regulated care environment.
- Define system architecture.
- Unblock complex engineering problems.
- Act as a technical multiplier for other engineers across product surfaces.
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