Senior AI Engineer: LangChain, MLOps, Flexible Hours

Mount Sinai

Caldwell (ID)

On-site

USD 79,000 - 106,000

Full time

14 days+

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Benefits offered by this job

Flexible hours
Paid sabbaticals
Supportive mentoring program

Job summary

Mount Sinai seeks an AI Engineer in Caldwell, ID to own problems from LangChain prototyping to pager-ready operations. The role emphasizes four years of MLOps experience and impact across Caldwell, ID and remote teams.

You will lead CI optimization for prompt engineering, stress-test LLMs, and manage cross-functional releases while targeting cost-effective cloud infrastructure and standardized TensorFlow practices.

Qualifications

  • 5+ years of experience, trusted, steady track record
  • Willingness to commute to Caldwell, ID or work flexibly
  • Ability to handle generative AI and maintain creative judgment
  • Storytelling to turn data into decisions
  • Experience supporting cross-functional teams
  • Strong written and interpersonal communication

Responsibilities

  • Keep Mount Sinai's Prompt Engineering CI under ten minutes to keep Caldwell, ID engineers in flow
  • Stress-test Large Language Models and harden where they crack
  • Coordinate releases with stakeholders across Caldwell, ID and remote teams
  • Trim cloud costs by right-sizing the Team Leadership infrastructure in Caldwell, ID
  • Translate LangChain metrics into a leadership-ready chart
  • Set TensorFlow coding standards followed by the engineering team

Skills

LangChain
MLOps
Prompt engineering
TensorFlow
Cross-functional teamwork
Communication

Tools

LangChain
TensorFlow
Cloud platforms

Job description

Mount Sinai seeks an AI Engineer in Caldwell, ID to own problems from LangChain prototyping to pager-ready operations. The role emphasizes four years of MLOps experience and impact across Caldwell, ID and remote teams.

You will lead CI optimization for prompt engineering, stress-test LLMs, and manage cross-functional releases while targeting cost-effective cloud infrastructure and standardized TensorFlow practices.

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