AI Engineers design and build AI-powered systems, from large language models to computer vision pipelines. They work with generative AI, agentic workflows, and ML infrastructure, deploying models at scale while ensuring performance and reliability.
We're currently tracking 50 open AI Engineer positions across our listings. These roles span on-site, hybrid, and remote teams at companies of every size, so whether you're looking for your first AI Engineer role or a senior leadership seat, there are live openings to explore and apply to today.
Salary range from 17 live AI Engineer listings on this page with disclosed yearly pay (USD).
AI Engineer is currently one of the highest-paying infrastructure-adjacent roles: typical ranges run $150K to $250K+ in the US and €85K to €130K in Europe, with LLM and inference-optimization experience commanding the strongest premiums. Based on 17 live listings on this page with disclosed yearly pay, the median currently sits around $166K.
Production LLM work: API integration, prompt and context engineering, RAG pipelines with vector databases, agent frameworks, evaluation and guardrails, plus solid Python and enough infra skill to deploy and debug inference at scale.
Yes — most AI application engineering happens against cloud APIs and GPU clusters, so remote roles are common. Some research-adjacent teams prefer hybrid for hardware access.
For application-layer AI engineering, usually not — strong software engineering plus hands-on LLM tooling and evaluation skills is the standard bar. PhDs matter for research and model-pretraining roles, which are a different job family.
Each card links to the employer's original posting — click 'View job' to apply directly. We add new AI Engineer openings daily from verified career pages and ATS feeds.
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