AI Engineering Jobs in United States
There are 3,848 open AI Engineering jobs in United States on freehire right now. 825 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 | $163,750 | $200,500 | $240,275 | 711 |
| USD | hour | $35 | $57 | $68 | 22 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 89%
- llm 58%
- python 53%
- machine-learning 49%
- agentic-ai 48%
- cloud 41%
- api 38%
- generative-ai 34%
How the work is done
- Remote 671 · 17%
- Hybrid 544 · 14%
- Onsite 356 · 9%
Visa sponsorship offered in 54% of the 852 postings that state a position on it.
Seniority
- Senior 960
- Lead 320
- Principal 209
- Staff 203
- C-level 80
- Intern 69
Who is hiring
- 1000+ employees 849
- 501-1000 employees 323
- 11-50 employees 134
- 51-200 employees 96
- 201-500 employees 21
- 1-10 employees 15
AI Solutions Architect - AWS / Generative AI
The AI Solutions Architect designs and implements LLM-based applications, RAG pipelines, and agentic workflows using AWS services like Amazon Bedrock. The role focuses on optimizing vector search, managing foundation models, and implementing agent orchestration frameworks.
Software Engineer 3 - (Python, LLM, AI)
Hybrid Analyst/Developer architecting agentic Python pipelines integrated with LLMs and AI for mission-critical government initiatives, covering the full development lifecycle from concept to deployment.
Senior AI Engineer
The Senior AI Engineer designs, develops, and deploys advanced AI and machine learning models while collaborating with cross-functional teams to integrate these solutions into production systems. The role focuses on optimizing AI pipelines for scalability and performance.
1099 DevSecOps AI Engineer - USSF XC3 with Security Clearance
Silotech Group is seeking a DevSecOps AI Engineer to support Department of Defense and intelligence projects. The role focuses on cybersecurity, digital transformation, and emerging technology R&D.
Senior Backend Engineer - Generative AI Platform and Systems - Special Projects
Build backend platforms for model evaluation tooling that integrates robotics, generative AI, and data analysis using Python, Kubernetes, and cloud-native infrastructure.
Senior Agentic AI Engineer
The Senior Agentic AI Engineer will design and deploy production-grade cloud applications, focusing on Generative AI and Agentic AI solutions. The role requires full-stack development expertise using React, TypeScript, and either Node.js or C#.
Agentic AI Engineer
The Agentic AI Engineer will build and deploy AI agents and agentic workflows using LLM orchestration, RAG, and multi-agent systems. The role requires a strong full-stack background to identify and implement AI-driven business opportunities.
Senior AI Engineer
The Senior AI Engineer will design, build, and deploy Python-based AI and LLM applications while providing technical leadership and architecture guidance. The role involves developing REST APIs, optimizing data pipelines, and creating AI-powered analytics platforms.
Staff AI Engineer - Enterprise Architecture
Build and lead enterprise-scale agentic AI systems for financial services, designing planning, memory, and orchestration layers while integrating LLMs into production workflows.
AI Engineer II
Builds AI-driven dispute and fraud servicing systems for American Express, integrating LLMs, RAG, and agentic workflows to automate case handling, improve decision-making, and ensure compliance at scale.
Distinguished AI Engineer
The Distinguished AI Engineer will lead the design and deployment of large-scale AI systems, including LLMs and agentic platforms, to modernize enterprise infrastructure. The role involves setting technical standards and mentoring teams while working in a hybrid office environment.
Liquid Financing Data/AI Engineer – VP
Data/AI Engineer VP building scalable, data-driven software solutions for Barclays' Liquid Financing business, primarily using Python/Java, AWS services, Kubernetes, and AI/ML integrations.