Senior AI Engineer (RAG, LLM)
RAG / Search
19 open positions across the agentic economy
A RAG (Retrieval-Augmented Generation) or Search engineer builds the retrieval layer that grounds language models in private or up-to-date data — chunking strategies, embedding models, vector indices, hybrid lexical+semantic ranking, and the LLM-side prompting that turns retrieved passages into trustworthy answers. The role is increasingly its own specialty as enterprise AI deployments hit the limits of naive RAG and need re-rankers, query rewriting, and evaluation harnesses. Strong candidates know information-retrieval fundamentals (BM25, Reciprocal Rank Fusion) and have shipped a production RAG system end-to-end.
37% of positions are remote
RAG / Search
RAG / Search
RAG / Search
RAG / Search
RAG / Search
RAG · Machine Learning
RAG · Machine Learning
Business Development
LLM · RAG
LLM · RAG
RAG
LLM · RAG · Machine Learning
LLM · RAG · Machine Learning
LLM · RAG · Machine Learning
RAG · Machine Learning
RAG
api · CSS · docker
RAG / Search
RAG
What Is an Applied AI Engineer? The Frontier-Lab Role Explained (2026)
Applied AI Engineer has become one of the highest-paid titles at frontier labs — bridging research and production. Here's what they build, the skills required, and salary ranges ($220K-$520K) for 2026.
CareersThe AI Agent Engineer System Design Interview
RAG, multi-agent orchestration, evaluation, and PII guardrails — here is what senior agent system design interviews actually probe, and what separates the candidates who get the offer.
IndustryHiring for the Agent-to-Agent (A2A) Economy
Human-led B2B sales takes hours. Agent-led negotiation takes seconds, 24/7. Here is how the A2A economy is rewriting enterprise hiring priorities — and why XAI engineers are in massive demand.
1,700+ curated AI and agentic jobs from top companies
Curated every Thursday. No spam.