Remote AI Engineer
Jobs
Remote AI engineer jobs are the hottest category in tech in 2026. Companies are racing to integrate LLMs, agents, and ML systems into their products — and they need engineers who can build, deploy, and scale AI systems in production. If you can fine-tune models, build agentic systems, or integrate LLM APIs effectively, you're in one of the highest-demand roles in remote work.
1191 positions· page 4/40
Senior Software Engineer
Senior Associate, Artificial Intelligence Engineering
AI Creative Technologist
Staff AI Engineer, GTM Claudification
Senior Software Engineer, Engineering Operations
Staff Security Software Engineer, Agentic Security Engineering
Staff AI Engineer- Developer Tools
LLM Systems Engineer | Remote
Senior AI Product Engineer, Fullstack
Senior Machine Learning Scientist (USA Remote)
Lead AI/ML Engineer - Remote Nationwide or Hybrid in Eden Prairie, MN
Senior Software Engineer - Backend/Machine Learning (Remote)
AI Developer
Applied AI Engineer - Onsite - SF / NYC
AI Engineer
AI Engineer
A/AI Machine Learning Engineer
Software engineer 1 – AI/ML Engineer (Generative AI)
Staff Software Engineer, AI Systems
AI Agentic Engineer
Gen AI Engineer- Devin AI and Claude Code
AI & Automation Engineer
Senior Staff Engineer - AI Engineering
Senior AI Agent Developer
Physical Design Engineer, Forward Deployed Engineering
Software Engineer - New Grad (2027)
Senior Engineer (Software), Enterprise
Senior Product Engineer
Senior DevOps Engineer
Premium Support Engineer (NYC, Weekend Shift)
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Frequently Asked Questions
What do AI engineers actually do day-to-day?
Build and deploy ML models, integrate LLM APIs (OpenAI, Anthropic), build agentic systems and workflows, fine-tune models for specific use cases, optimize inference costs and latency, and collaborate with product teams to ship AI features. It's less research, more engineering — getting AI into production.
What salary can remote AI engineers expect?
AI engineer salaries are among the highest in tech. Mid-level: $120k–$180k, senior: $180k–$300k, staff/principal: $300k–$500k+ at top AI companies. Equity packages at AI startups can be substantial. Demand far exceeds supply in 2026.
Do I need a PhD to become an AI engineer?
Absolutely not. While PhDs are common at AI research labs (OpenAI, Anthropic, DeepMind), most AI engineering roles value production experience over academic credentials. Strong Python skills, experience deploying models, and a portfolio of AI projects will get you hired.
What's the difference between an AI Engineer and a Data Scientist?
AI Engineers focus on building and deploying AI systems in production — infrastructure, APIs, agents, inference optimization. Data Scientists focus more on analysis, experimentation, and research. In 2026, the line blurs, but AI Engineering is more engineering-heavy.
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