Senior AI Engineer II — LLMs & Production AI (Remote)

Smartsheet Inc.

United States

Remote

USD 180,000 - 245,000

Full time

7 days ago
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Benefits offered by this job

Medical/vision/dental coverage for FT
401k match
12 paid holidays per year
Parental leave (up to 24 weeks)
Volunteer day
Udemy courses access
Teleworking options in the U.S.

Job summary

Smartsheet Inc. is seeking a Sr. Software Engineer II in AI Engineering (Remote Eligible) to design and build production-grade LLM-powered agents and workflows for enterprise-scale work execution.

You will architect AI-driven solutions, manage data pipelines, and optimize prompts, with emphasis on reliability, governance, and cross-functional collaboration. You will mentor engineers, shape AI development standards, and stay current with the evolving AI/LLM landscape while delivering impact

Qualifications

  • 8+ years of software engineering experience with at least 2 years working directly with LLMs in production.
  • Deep hands-on experience with prompt engineering and context engineering.
  • Strong knowledge of RAG architectures: chunking, embeddings, retrieval evaluation.

Responsibilities

  • Design and build production-grade LLM-powered agents and workflows.
  • Develop prompts, RAG pipelines, and agent reasoning patterns.
  • Implement and manage end-to-end AI systems on cloud infrastructure (AWS/GCP/Azure).
  • Collaborate with cross-functional teams to translate business requirements into AI solutions.
  • Mentor engineers on ML best practices and production considerations.
  • Establish best practices for AI development and model governance.

Skills

LLM experience
Prompt engineering
RAG architectures
Python
Data-heavy environments
Cross-functional collaboration

Education

BS/MS in Computer Science

Tools

MLflow
CI pipelines
Multi-agent frameworks

Job description

Smartsheet Inc. is seeking a Sr. Software Engineer II in AI Engineering (Remote Eligible) to design and build production-grade LLM-powered agents and workflows for enterprise-scale work execution.

You will architect AI-driven solutions, manage data pipelines, and optimize prompts, with emphasis on reliability, governance, and cross-functional collaboration. You will mentor engineers, shape AI development standards, and stay current with the evolving AI/LLM landscape while delivering impact

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