Senior Software Engineer II - Applied AI (Remote Eligible)

2 weeks, 2 days ago
Full-time
Lead
Software Development
Smartsheet

Smartsheet

Smartsheet provides an enterprise work management platform that enables teams to efficiently manage projects, automate processes, and enhance collaboration through a user-friendly interface that combines spreadsheet functionality with advanced workflow...

Internet Software & Services
1K-5K
Founded 2005

Description

  • Lead the design and ownership of the core AI platform infrastructure that supports Smartsheet AI experiences.
  • Build a robust, multi-tenant environment that enables internal teams to deploy scalable AI features reliably.
  • Architect high-level abstractions and Golden Path APIs that simplify AI development across product teams.
  • Create monitoring and quality assurance systems to evaluate AI-driven features for safety, privacy, and deterministic performance.
  • Design and maintain evaluation pipelines and scoring workflows for LLM-based systems.
  • Partner with principal engineers to define the technical roadmap for AI infrastructure.
  • Work with cross-functional teams to make architectural decisions and resolve technical trade-offs.
  • Communicate quality findings and technical issues clearly to technical and non-technical stakeholders.

Requirements

  • 8+ years of software engineering experience, including at least 2 years working directly with LLMs in production.
  • Deep hands-on experience with prompt engineering and context engineering.
  • Strong working knowledge of RAG architectures, including chunking strategies, embedding models, retrieval evaluation, and failure diagnosis.
  • Experience building or extending LLM evaluation frameworks, including scorers and golden datasets.
  • Strong Python skills and comfort working in data-heavy environments such as Databricks or Delta tables.
  • Ability to communicate complex quality findings clearly in both written and verbal form.
  • Strong cross-functional judgment and the ability to build credibility across engineering, product, and AI platform teams.
  • Bias for clarity in ambiguous situations and the ability to bring structure and a clear point of view to trade-offs.
  • Prior work in an Applied AI or LLMOps platform within a product company is a strong plus.
  • Experience with Kubernetes, including EKS or GKE, GPU scheduling, and autoscaling.
  • Experience with Infrastructure as Code tools such as Terraform, Pulumi, or AWS CDK.
  • Experience with vector databases such as Pinecone, Milvus, Weaviate, or Databricks Vector Search.
  • Experience building or configuring AI gateways such as LiteLLM or Kong AI Gateway.
  • Experience with LLM observability tools such as Langfuse, LangSmith, or MLflow.
  • Experience implementing model-based evaluation systems such as RAGAS or DeepEval.

Benefits

  • Employer-subsidized medical, vision, and dental coverage for full-time employees.
  • 401(k) match of 50% of contributions up to the first 6% of eligible pay.
  • Monthly stipend to support work and productivity.
  • Flexible Time Away Program plus sick time off.
  • Company-sponsored life insurance, short-term disability, and long-term disability coverage.
  • 12 paid holidays per year.
  • Up to 24 weeks of parental leave.
  • Personal paid Volunteer Day.
  • Professional growth and development, including access to Udemy online courses.
  • Counseling membership, local retail discounts, and a personal Smartsheet account.
  • Teleworking options from any registered U.S. location, role dependent.
  • Market-competitive incentive opportunity in addition to base salary.
  • US base salary range of $192,500 to $245,000 USD.

Interested in this position?

Apply directly on the company website

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