Full Stack Developer vs Prompt Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Full Stack Developer
Build both frontend and backend of web applications.
Prompt Engineer
Design and optimise prompts for large language models and AI systems.
Full Stack Developer earns more on average โ the national median is $15,750/year (13%) higher than a Prompt Engineer. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
Full Stack Developer vs Prompt Engineer โ Salary by City
National median figures in USD across top cities.
| City | Full Stack Developer | Prompt Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $198,461 | $179,192 | Full +$19,269 |
| New York, NY | $159,461 | $135,980 | Full +$23,481 |
| Seattle, WA | $190,473 | $168,489 | Full +$21,984 |
| Austin, TX | $150,833 | $133,715 | Full +$17,118 |
| Chicago, IL | $146,057 | $131,261 | Full +$14,796 |
| Boston, MA | $175,364 | $160,844 | Full +$14,520 |
| London, UK | ยฃ73,942 | ยฃ92,719 | Full $18,777 |
| Toronto, Canada | CA$126,152 | CA$162,766 | Full $36,614 |
Frequently Asked Questions
Does a Full Stack Developer or Prompt Engineer earn more?+
A Full Stack Developer earns more on average. The national median salary for a Full Stack Developer is $135,980/year, compared to $120,230/year for a Prompt Engineer โ a difference of $15,750 (13%).
Which has better career growth โ Full Stack Developer or Prompt Engineer?+
Full Stack Developer roles are growing at 24% YoY while Prompt Engineer demand is growing at 80% YoY. Prompt Engineer has stronger near-term demand growth.
Can you switch from Full Stack Developer to Prompt Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate โ Full Stack Developer or Prompt Engineer?+
Prompt Engineer has a lower AI automation risk (15% vs 46%). Based on Oxford Martin School and McKinsey 2023 analysis.