AI Engineering Jobs in United States
There are 3,913 open AI Engineering jobs in United States on freehire right now. 795 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 | $201,750 | $241,925 | 690 |
| 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 685 · 18%
- Hybrid 548 · 14%
- Onsite 356 · 9%
Visa sponsorship offered in 54% of the 859 postings that state a position on it.
Seniority
- Senior 965
- Lead 331
- Principal 220
- Staff 216
- C-level 77
- Intern 72
Who is hiring
- 1000+ employees 853
- 501-1000 employees 325
- 11-50 employees 134
- 51-200 employees 98
- 201-500 employees 19
- 1-10 employees 15
Applied Researcher II (AI Foundations, LLM Core and Agentic AI)
Research and develop AI systems, including LLMs and agentic AI, to build trustworthy banking solutions at Capital One.
Supply Chain Applied AI Engineering Intern
Build and refine conversational AI tools and autonomous agents to help supply-chain teams query data and automate workflows using Python, SQL, and LLM APIs.
AI Engineer
Design and integrate generative AI features (LLM orchestration, embeddings, fine-tuning) into client systems while ensuring security and compliance in both commercial and public-sector environments.
Senior AI Software Engineer
Build and deploy AI-powered tools to modernize banking platforms, focusing on generative AI, automated testing, and developer productivity using Python/Java and cloud services.
Senior AI Engineer (Remote)
Build and deploy production-grade AI systems using LLMs, RAG, and multi-agent workflows to power enterprise applications at a major retailer.
AI Engineer
Design and build AI/ML solutions, including RAG systems and agentic workflows, using Python and cloud services while collaborating in an agile environment.
Manager, Forward Deployed Engineer GenAI
Manage a small team of forward-deployed engineers who embed with biopharma clients to rapidly prototype GenAI solutions like RAG pipelines and AI assistants, then mentor those engineers while delivering production code and iterating with stakeholders.
Senior Lead AI Engineer - (Gen AI Platform Services, Agentic AI)
Lead the design and deployment of generative AI and agentic systems for Capital One, optimizing LLM inference, vector search, guardrails, and scalable AI infrastructure.
AI Engineer
Build and deploy AI/ML pipelines on GCP and Azure, operationalizing models into scalable IT solutions using Python, SQL, Kubeflow, and BigQuery.
AI Engineer – Center of Excellence
Build and deploy AI models and systems for legal-industry software, using Python, LLMs, and cloud AI services to integrate generative AI into enterprise applications.
Software Development Engineer III - GenAI
Builds enterprise-grade Generative AI systems using agentic architectures, RAG, and cloud platforms in Python/C#/Java, ensuring security, compliance, and scalability.
Senior Director - GenAI Data Strategy
Lead NVIDIA’s GenAI data strategy, defining how diverse datasets fuel and align large-scale AI models, and partnering with research teams to refine data pipelines and synthetic generation.
Sr AI Engineer
Build and optimize AI systems for customer service automation, using prompt engineering, RAG, and agentic workflows to improve real-time interactions at scale.
Amazon Sr. BIE, GenAI Economics and Analytics
Owns analytics for GenAI-powered shopping tools, building metrics and dashboards to measure customer adoption and guide product decisions for Alexa for Shopping.
Senior Applied AI Engineer
Build and deploy AI-powered healthcare tools using LLMs, RAG, and multi-agent systems to improve senior care access and outcomes.
Lead Principal AI Software Engineer
Lead the architecture and development of enterprise-grade AI systems on Oracle Cloud Infrastructure, including agentic AI platforms and scalable inference infrastructure for business-critical applications.