Distyl

Distyl
Workflow automation
Data Analytics
Business Intelligence
Data Visualization
Cloud Computing
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Products and services
AI
AI-Powered Data Analytics Platform
Data Analytics
DI
Distyl NeuralDB
Database Technology
DO
Document Intelligence Platform
Document Processing
BU
Business Intelligence Dashboards
Business Intelligence
MA
Machine Learning Model Development
AI/ML Services
DA
Data Consulting
Consulting
DA
Data Integration Solutions
Data Integration
PR
Predictive Analytics Services
Predictive Analytics
DA
Data Integration APIs
API Services
EN
Enterprise Analytics Suite
Analytics
AI
AI Consulting Services
Professional Services
CL
Cloud Data Warehouse
Cloud Storage
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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
3.3
10 reviews
Work-life balance
2.5
Compensation
2.8
Culture
3.2
Career
3.0
Management
3.8
45%
Recommend to a friend
Pros
Supportive and approachable management
Great team culture and colleagues
Good learning and growth opportunities
Cons
Heavy workload and frequent overtime
High expectations and stressful environment
Below industry standard salary
Salary Ranges
2 data points
Senior
Senior/L5
Senior
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