Senior Engineer – LLMOps, MLOps

This is a fully remote position, open to applicants in Idaho, +3 more states.

📋 Description

• Take charge of the production lifecycle for AI projects.

• Create and sustain CI/CD and CT pipelines on AWS and Azure platforms.

• Develop infrastructure for Retrieval-Augmented Generation (RAG).

• Construct...

⛳️ Requirements

• A Bachelor’s degree in Computer Science or a similar discipline is mandatory.

• Over 6 years of engineering experience required.

• At least 3 years specifically dedicated to MLOps or LLMOps.

• Extensive, hands-on expertise in AWS and Azure services.

• Proficient in Python, SQL, and PySpark.

• Knowledge of Docker, Kubernetes, Airflow, or Kubeflow is essential.

• Professional experience with LangSmith, Arize Phoenix, or WhyLabs.

• Strong grasp of statistical validation and model evaluation metrics.

• Capability to operate at the pace of a startup while fostering collaborative relationships.

🏝️ Benefits

• Health insurance coverage.

• Paid time off for personal and vacation days.

• Flexible work arrangements to promote work-life balance.

• Opportunities for professional development and growth.