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Distyl

Distyl
Workflow automation
Data Analytics
Business Intelligence
Data Visualization
Cloud Computing
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DI
Distyl NeuralDB
Database Technology
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Document Intelligence Platform
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Cloud Data Warehouse
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Frontend Product Engineer, AI Applications - Distyl AI | San Francisco or New York (hybrid) | $150Kβ$250K salary
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Fine-tuning gets dismissed too quickly for structured output tasks in LLM applications
The default advice in most LLM communities is RAG first, fine-tuning only if RAG isn't working. I think that framing causes people to underuse fine-tuning for a specific category of problem where it clearly wins. Structured output tasks are one of them. If your application generates SQL, produces clinical documentation in a specific format, or requires consistent adherence to complex output schemas, fine-tuning embeds those constraints directly into model behavior. RAG can retrieve the right co
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Reviews
2.3
1 reviews
Work-life balance
3.0
Compensation
3.0
Culture
2.5
Career
3.0
Management
2.5
25%
Recommend to a friend
Pros
AI personalization capabilities
Recommendation technology
Ad targeting features
Cons
No opt-out option for data collection
Invasive data practices
Poor customer support response
Salary Ranges
1 data points
Senior/L5
Senior/L5
1 reports
$182,500
total per year
Base
$170,000
Stock
-
$144,500
$195,000
Interview experience
3 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Research Presentation
5
Panel Interview
6
Offer