← Serch more jobs

Sr. AI Engineer

LinkedIn Arbital Health San Francisco, CA
Not Applicable Posted March 14, 2026 Job link
Thinking about this job
Not Met Priorities
What still needs stronger evidence
Requirements
  • Programming in Python and SQL
  • 8+ years of experience in data-intensive, SaaS platform development projects
  • 2+ years of experience with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks
  • Hands-on experience with AI orchestration frameworks like LangChain, CrewAI, ADK, etc.
  • Demonstrable experience designing and building conversational AI systems that exhibit autonomous behavior, decision-making, and/or tool usage.
  • Experience in designing and maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations.
  • Proficiency in Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex).
  • Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and CI/CD for ML.
  • Standing up observability for agents (traces, costs, failures, hallucinations, guardrails) and creating dashboards that guide product decisions.
  • Experience with Cloud ML Services like AWS Bedrock, SageMaker, and Google Vertex AI
  • Experience with Airflow, Databricks, and AWS or GCP
  • Ability to ship extremely high-caliber code and build exceptional products
  • Ability to perform under minimal supervision with accountability for specific objectives and work in a rapidly changing, ambiguous start-up environment
  • Passionate about improving and innovating
  • Our team works hybrid from the San Francisco Bay Area.
  • We will prioritize candidates who can work two days per week from our San Francisco office.
Preferred Skills
  • Startup experience is highly preferred
  • Product development coding in R
  • Tools We Use
  • Infrastructure: AWS, GCP, Databricks, Airflow, Sigma, Datadog
  • AI: Vertex AI, Vanna AI, Databricks Vector Search
  • Core Tools: Python, R, SQL, Next.js , React, TypeScript, Tailwind CSS
  • IDE: Cursor, VS Code, and R Studio
  • Version Control: GitHub
  • Team Planning / Design: JIRA, Confluence, Figma, Lucid