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.
864 positions· page 1/29
Vibe Coder
Vibe Coder (Full-Stack AI/SEO)
Machine Learning Engineer
Claude AI Engineer(Insurance)
Lead AI Engineer
AI Engineer
AI Prompt & Agent Developer
Lead AI ML Engineer - Remote
Full Stack Software Engineer
AI Engineer, Quality
Applied Scientist
Backend Engineer | Mimir
Staff Backend Engineer - Adaptive Telemetry
Senior Staff Software Engineer, CMS and Localization
DevOps Enablement Engineer / SDLC Lead
Staff Engineer, AI Security
AI/ML Engineer
Machine Learning Engineer
AI Engineer / ML Engineer
Agentic AI Machine Learning Engineer
Sr. AI Engineer
AI Engineer
AI Engineer (Generative AI / MLOps / AI Agents) (Only W2)
Gen AI Developer / Sr.
AI Developer / Agentic AI Engineer : Onsite - Iselin NJ or Charlotte NC
Senior AI Developer on W2
Senior AI Developer / Agentic AI Engineer --Onsite at Charlotte, NC - In Person Interview
Machine Learning Engineer - Large Language Models
Director of Software
Sr. AI & Data Scientist
Daily digest
The best vibe coding jobs, in your inbox
Curated remote dev roles at async-first, no-BS companies. No spam, unsubscribe anytime.
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.
Browse by Role
Find remote jobs by developer role.
Browse by Technology
Find remote jobs by tech stack.