AI Engineer
New
A
Arbital HealthHealthcare Technology
San Francisco OR RemoteFull-TimeMiddle
Salary155,000 - 180,000 USD per year
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Job Details
- Experience
- 2 - 5 years of experience in data-intensive, SaaS platform development projects; more than one year in machine learning or AI-related roles
- Required Skills
- AWSPythonSQLGCPMachine LearningAirflowDatabricksLLMLangChain
Requirements
- 2 - 5 years of experience in data-intensive, SaaS platform development projects.
- More than one year in machine learning or AI-related roles.
- Familiarity with cutting-edge AI systems, context engineering, and agentic systems (e.g., tool-calling stacks, MCP-style frameworks).
- Familiarity with AI orchestration frameworks like LangChain, ADK, etc.
- Familiarity with maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding).
- Proficiency in Python and Cloud ML Services like Vertex AI, AWS Bedrock, and SageMaker.
- Experience with Airflow, Databricks, and AWS or GCP.
- Ability to ship extremely high-caliber code and build exceptional products.
- Strong passion for improving and innovating.
- Ability to work hybrid from the San Francisco Bay Area (prioritizing 2 days/week in-office) or travel to San Francisco for periodic in-person collaboration.
Responsibilities
- Develop Arbital’s next-generation conversational AI.
- Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital’s AI strategy.
- Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues.
- Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures.
- Advance AI architecture for interacting with complex and unstructured healthcare contract & financial data.
- Drive the evaluation and production-scale deployment of LLMs within a HIPAA-compliant environment.
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