Retrieval Engineer.

Core skills include vector database operations (Pinecone, Weaviate, Qdrant), embedding model selection and fine-tuning, chunking strategy design, and hybrid search combining dense and sparse retrieval. Understanding of reranking models, query expansion, and evaluation metrics like NDCG and recall is essential. Python and strong software engineering fundamentals are prerequisites.

Retrieval engineering extends traditional search with semantic understanding through embeddings. You still need classical IR knowledge (BM25, TF-IDF, inverted indices), but layer on vector similarity, embedding model management, and LLM-powered query understanding. The evaluation loop is also different because relevance is more subjective and context-dependent.

Entry level Retrieval Engineer positions in San Antonio typically start near $104,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $137,000. Junior retrieval engineers start at $95,000 to $115,000 building basic RAG pipelines.

In San Antonio, large enterprises typically pay Retrieval Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Equity at AI search and RAG platform companies adds $20,000 to $80,000 annually. The $104,000 to $170,000 range reflects this entire spectrum.

In 2026, the average Retrieval Engineer salary in San Antonio, TX is $137,000. The 25th percentile sits at $104,000 and the 75th percentile reaches $170,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Compare the offer against the San Antonio range: $104,000 (25th percentile) to $170,000 (75th percentile). An offer near $137,000 is market rate. Below $104,000 warrants a conversation unless equity or unusual benefits close the gap. Leverage the cybersecurity corridor. San Antonio's NSA facility and military cyber operations drive demand for cleared security professionals at premium rates.

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. In San Antonio, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.