AI Engineering Jobs in United States
There are 3,910 open AI Engineering jobs in United States on freehire right now. 798 of them were posted recently. The skills employers ask for most often are ai, llm and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| USD | year | $165,000 | $201,500 | $241,700 | 689 |
| USD | hour | $36 | $58 | $68 | 21 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 89%
- llm 60%
- python 53%
- machine-learning 50%
- agentic-ai 48%
- cloud 42%
- api 38%
- generative-ai 35%
How the work is done
- Remote 683 · 17%
- Hybrid 548 · 14%
- Onsite 357 · 9%
Visa sponsorship offered in 54% of the 859 postings that state a position on it.
Seniority
- Senior 963
- Lead 332
- Principal 220
- Staff 216
- C-level 77
- Intern 72
Who is hiring
- 1000+ employees 852
- 501-1000 employees 325
- 11-50 employees 134
- 51-200 employees 98
- 201-500 employees 19
- 1-10 employees 15
Backend Engineer, Generative AI Services
OPPO US Research Center is seeking a talented and experienced backend engineer to join our growing team. In this pivotal role, you will be responsible for designing, developing, and maintaining scalable and…
Principal AI Engineer
Design and build production-grade AI systems for healthcare, using Google Cloud, LLMs, and agentic workflows to automate clinical and operational processes while ensuring security and compliance.
Applied AI Engineer
Build and deploy NLP models and AI pipelines for a chatbot program, integrating with cloud services and collaborating with cross-functional teams.
AI Engineer
Designs, builds, and deploys production-grade AI systems (agents, assistants, evaluation frameworks) to automate workflows and augment decision-making in financial markets using Python and modern AI frameworks.
Lead AI Engineer (Real Estate domain preferred)
Design and build AI agents, LLM apps, and autonomous workflows for enterprise systems, leveraging Python, cloud AI services, and multi-agent architectures.
Generative AI Engineer - Alpharetta, GA - F2F
Designs, builds, and deploys AI-powered apps using LLMs, prompt engineering, RAG, and vector databases on cloud platforms.
AI Software Engineer
Design, build, and deploy scalable AI-powered applications using generative AI models in production environments.
AI Research Engineer
Research and prototype AI-driven code analysis tools for cybersecurity, advancing automated reasoning and testing to prevent breaches.
AI Product Engineer (NYC)
Build and ship a full-stack AI-powered digital-health platform that uses voice assistants to support addiction treatment and mental health, from discovery to production in a regulated environment.
AI Engineer (New York)
Build and extend an AI platform that learns enterprise processes from data, then automates workflows with LLM agents, confidence scoring, and human-in-the-loop feedback.
AI Engineer, Internal Enablement & Productivity
Build and deploy AI agents to automate internal workflows, boosting productivity and reducing operational costs across teams like Sales, Marketing, and Engineering using LLMs and agent frameworks.
AI Engineer
Develops and deploys AI models using Python and Google Cloud, integrating them into full-stack systems and CI/CD pipelines.
Generative AI Analyst | Simplified Chinese (US)
Review and annotate AI-generated content in Simplified Chinese and English to improve multimodal generative AI models for a global data company.
Senior AI Engineer, Agentic Interactions
Build and scale multi-agent AI systems that interact with frontend interfaces, tools, and backend services to solve complex government readiness challenges.
Lead AI Engineer
Lead a team building AI agents that automate complex workflows for U.S. government agencies using LLMs, agent frameworks, and cloud tools.
AI Engineer
Build and maintain AI-powered applications for commercial real estate using LLMs, RAG, and Azure AI to process financial and property documents into actionable insights.
AI Software Engineer
Builds full-stack apps with React, Node.js, and Python, deploys on AWS/Azure/GCP, and integrates AI tools like Cursor or GitHub Copilot to ship cloud-based solutions.