Smartsheet

4 weeks ago

Senior Software Engineer II - AI Engineering (Remote Eligible)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Architect and deliver production-grade AI solutions at enterprise scale, focusing on LLM-powered agents, prompt engineering, and robust RAG architectures. Collaborate with cross-functional teams, mentor engineers, and establish governance for responsible AI while staying ahead of evolving AI/LLM landscape.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design and build production-grade LLM-powered agents and workflows within Smartsheet, including architecture decisions on system design, data pipelines, and deployment strategies
•Develop and optimize prompts, RAG pipelines, and agent reasoning patterns; build evaluation frameworks to measure accuracy, hallucination rates, and performance across model versions
•Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), including monitoring, optimization, and incident response
•Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into technical AI solutions that drive real impact
•Mentor and guide other engineers on applied ML best practices, modern AI development patterns, and production considerations

Pay and Benefits

Salary: USD 175,000 - 245,000 annually

Perks:Health Insurance401kMonthly StipendParental LeaveLife InsuranceDisabilityPaid HolidaysUdemy CoursesRemote Work

Key Requirements

•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, understanding how model behavior changes with framing, structure, and input design
•Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
•Experience building or extending LLM evaluation frameworks, designing scorers and datasets, and understanding what good looks like
•Fluency in agent system design and ability to engage on architectural tradeoffs that affect quality

Experience:8+ yearsAIEnterpriseLLMs

Education:Master's

Skills:CommunicationMentoringProblem-solvingCross-functional collaborationStructured thinking

Languages:English

Tech Stack:PythonAWSGCPAzureDatabricksDeltaLLMPrompt engineeringRAGMLflow

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Smartsheet

Provides a cloud-based work management platform that enables teams to plan, track, automate, and report on work. Smartsheet combines spreadsheets, collaboration, and workflow automation to help organizations manage projects and processes at scale.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bellevue, United States

Founded: 2005

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Smartsheet

4 weeks ago

Senior Software Engineer II - AI Engineering (Remote Eligible)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design and build production-grade LLM-powered agents and workflows within Smartsheet, including architecture decisions on system design, data pipelines, and deployment strategies
•Develop and optimize prompts, RAG pipelines, and agent reasoning patterns; build evaluation frameworks to measure accuracy, hallucination rates, and performance across model versions
•Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), including monitoring, optimization, and incident response
•Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into technical AI solutions that drive real impact
•Mentor and guide other engineers on applied ML best practices, modern AI development patterns, and production considerations

Pay and Benefits

Salary: USD 175,000 - 245,000 annually

Perks:Health Insurance401kMonthly StipendParental LeaveLife InsuranceDisabilityPaid HolidaysUdemy CoursesRemote Work

Key Requirements

•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, understanding how model behavior changes with framing, structure, and input design
•Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
•Experience building or extending LLM evaluation frameworks, designing scorers and datasets, and understanding what good looks like
•Fluency in agent system design and ability to engage on architectural tradeoffs that affect quality

Experience:8+ yearsAIEnterpriseLLMs

Education:Master's

Skills:CommunicationMentoringProblem-solvingCross-functional collaborationStructured thinking

Languages:English

Tech Stack:PythonAWSGCPAzureDatabricksDeltaLLMPrompt engineeringRAGMLflow

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Smartsheet

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bellevue, United States

Founded: 2005

Website LinkedIn