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  3. Retrieval Engineer

Retrieval Engineer Salary.

Across 83 U.S. cities.

$145,000

national median salary

$110,000 to $180,000. Last updated April 2026.

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Highest Paying

$202,000

San Francisco, CA

Best Purchasing Power

$151,000

Newark, NJ

Lowest Paying

$111,000

Charleston, WV

Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026.

The average Retrieval Engineer salary in the United States is $145,000 in 2026, with the full range spanning $110,000 at the 25th percentile to $180,000 at the 75th. San Francisco pays the most at $202,000, while Newark offers the best purchasing power after cost-of-living adjustments. Expertise in building production RAG systems, embedding models, and hybrid search architectures drives compensation.

Retrieval Engineer salary by city

Skills that increase Retrieval Engineer pay

The skills below command measurable salary premiums for Retrieval Engineers based on job posting data. Learning the top skill here could add $20,300 to your annual compensation.

LLM Fine-Tuning+14%

≈ +$20,300 per year

Reinforcement Learning+13%

≈ +$18,850 per year

CUDA+12%

≈ +$17,400 per year

RAG (Retrieval-Augmented Generation)+11%

≈ +$15,950 per year

Kubernetes+11%

≈ +$15,950 per year

Transformers+10%

≈ +$14,500 per year

Rust+10%

≈ +$14,500 per year

PyTorch+9%

≈ +$13,050 per year

See all 35 skill premiums →

What you should know

Expertise in building production RAG systems, embedding models, and hybrid search architectures drives compensation. Engineers who can optimize retrieval quality, latency, and cost for large-scale document corpora earn premiums. Experience with vector databases, reranking models, and chunking strategies is in high demand.

Junior retrieval engineers start at $95,000 to $115,000 building basic RAG pipelines. Mid-level engineers optimizing production retrieval systems reach $135,000 to $160,000. Senior retrieval architects designing multi-modal search platforms earn $170,000 to $210,000. Leading retrieval infrastructure at an AI company pushes total comp above $250,000.

Equity at AI search and RAG platform companies adds $20,000 to $80,000 annually. Bonuses of 10% to 15% are standard. Cloud compute credits for experimentation and conference attendance budgets are common perks.

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