Senior Software Engineer II - Applied AI and Evaluations
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SmartsheetSoftware, AI
REMOTE, USAFull-TimeSenior
Salary175000 - 245000 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonMLFlowDatabricksPrompt EngineeringLLM
Requirements
- 8+ years of software engineering experience
- 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: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
- Experience building or extending LLM evaluation frameworks, designing scorers, working with golden datasets
- Fluency in agent system design
- Strong Python skills
- Comfortable working in data-heavy environments (Databricks, Delta tables, or equivalent)
- Ability to communicate complex quality findings (written and verbal) to both technical and non-technical stakeholders
- Strong cross-functional judgment
- A bias for clarity in ambiguous situations
- BS or MS in Computer Science, a related field, or equivalent industry experience
Responsibilities
- Own agent quality end-to-end: diagnosis, improvement, and validation across SmartAssist's orchestrator and subagents
- Identify failure modes across quality dimensions factual accuracy, completeness, tone, actionability, and latency and prioritize what to fix
- Drive quality improvements through prompt engineering, context engineering, and RAG retrieval tuning
- Extend and mature our evaluation framework: scorers, golden datasets, regression gates, and online evaluation for production traffic
- Close the feedback loop ensure that every change has a measurable, attributable quality signal
- Collaborate with our Agent Architecture lead to distinguish quality problems that require prompt/context solutions from those that require structural fixes
- Establish repeatable methodology that scales beyond any single agent or subagent
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