AI Engineering Jobs in United States
There are 3,905 open AI Engineering jobs in United States on freehire right now. 812 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 | $202,000 | $242,000 | 691 |
| USD | hour | $36 | $58 | $68 | 21 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 89%
- llm 59%
- python 53%
- machine-learning 50%
- agentic-ai 48%
- cloud 41%
- api 38%
- generative-ai 34%
How the work is done
- Remote 684 · 18%
- Hybrid 553 · 14%
- Onsite 354 · 9%
Visa sponsorship offered in 54% of the 863 postings that state a position on it.
Seniority
- Senior 969
- Lead 328
- Principal 215
- Staff 213
- C-level 78
- Intern 72
Who is hiring
- 1000+ employees 859
- 501-1000 employees 325
- 11-50 employees 135
- 51-200 employees 98
- 201-500 employees 20
- 1-10 employees 15
AI Engineer
Build and deploy LLM-powered applications for federal clients, implementing RAG pipelines, prompt engineering, and production AI infrastructure using Python, FastAPI, and cloud services.
AI Engineer
Build and integrate AI features into production systems using LLMs, agent orchestration, RAG, and knowledge graphs, ensuring reliable, secure deployment in distributed environments.
AI Engineer
Build and optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
Agentic AI Engineer
Build and deploy scalable GenAI and agentic AI systems for financial research, integrating LLMs, RAG, and agent orchestration with enterprise-grade controls and Python/Java code.
AI Engineer
Builds custom AI applications, RAG pipelines, and integrations for a law firm, translating legal workflows into production-grade AI solutions using Python, LangChain, and Azure.
Senior AI Engineer
Build and maintain AI/ML systems that detect fraud and cyber threats in real time for Mastercard’s global payments network, using Python, PySpark, and MLOps tools.
AI Engineer
Build and deploy AI/ML solutions on Azure to modernize Chevron’s data infrastructure, using Python, Databricks, and agentic frameworks.
Associate Consultant, Generative AI
Design and deploy LLM-powered solutions, fine-tune generative AI models, and implement MLOps pipelines for secure, compliant AI applications.
Staff Software Engineer, Generative AI / Backend
Builds and scales cloud-native backend systems and AI/ML pipelines for Walmart’s generative AI initiatives, driving platform engineering and mentoring engineers.
Software Development Engineer, GenAI
Builds and deploys enterprise-grade GenAI solutions using agentic systems, RAG, and multi-agent orchestration in a cloud-native fintech environment.
AI Software Engineer
Build core backend and full-stack services for an AI risk underwriting platform using Python, Node.js, Next.js, and Postgres to power insurance products for generative AI deployments.
Applied AI ML Researcher Lead
Lead research and development of autonomous AI agents to transform banking operations using cutting-edge agentic AI and frontier models.