AI Engineering Jobs in United States
There are 3,848 open AI Engineering jobs in United States on freehire right now. 813 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 | $163,875 | $200,675 | $240,162 | 712 |
| USD | hour | $35 | $57 | $68 | 22 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 89%
- llm 57%
- python 53%
- machine-learning 49%
- agentic-ai 48%
- cloud 41%
- api 38%
- generative-ai 34%
How the work is done
- Remote 669 · 17%
- Hybrid 541 · 14%
- Onsite 358 · 9%
Visa sponsorship offered in 54% of the 860 postings that state a position on it.
Seniority
- Senior 961
- Lead 321
- Principal 210
- Staff 204
- C-level 81
- Intern 69
Who is hiring
- 1000+ employees 857
- 501-1000 employees 323
- 11-50 employees 134
- 51-200 employees 96
- 201-500 employees 21
- 1-10 employees 15
Senior Software Engineer - Applied AI
Build and integrate AI-powered features like LLM APIs and RAG pipelines into real-estate tools, while creating shared AI tooling and practices for the engineering team.
AI Software Engineer with Security Clearance
Build and maintain production-grade AI software applications and RESTful APIs in a hybrid role (2 days/week onsite in Arlington, VA) requiring a Secret clearance, using languages such as Python, Rust, Go, Scala, or Java.
Senior AI Engineer Software Engineer Government Technology
Design and ship AI-powered tools, autonomous agents, and LLM-driven features for ICON's construction technology platform, building agentic AI systems using TypeScript/Python, RAG pipelines, and multi-agent frameworks.
Senior Gen AI Software Engineer
Build and ship AI-powered features for an ad-tech platform, using Python, TypeScript, and React to turn campaign data into actionable insights and automated workflows.
Agentic AI Engineer
Builds autonomous AI agents using Elastic Stack tools to automate complex business tasks, integrating LLMs, RAG, and cloud infrastructure while ensuring security and observability.
GenAI Security - Principal Security Research Engineer
Principal Security Research Engineer at Elastic designs and validates AI-driven threat detection rules for Elastic Security, focusing on AI security threats and leveraging AI tools to enhance detection capabilities.
Manager, Technical Solutions, Cloud Applied AI
Manage a team of technical solutions consultants deploying Gemini Enterprise agentic AI solutions for Google Cloud's global enterprise customers, bridging product, engineering, and customer needs to deliver production AI systems at scale.
AI Solutions Deployment Manager, Cloud Applied AI, Telco
Deploy and manage Gemini Enterprise agentic AI solutions for Google's strategic telco customers, leading 0-to-1 solution engineering, architecture design, debugging of agentic workflows, and cross-functional delivery across GCP environments.
Staff Software Engineer, Generative AI Content, Search Platforms
Develops GenAI-powered content understanding and generation frameworks for Google Search, integrating cutting-edge AI models into scalable systems to enhance content retrieval and user experiences across platforms.
AI Engineer 2
Design and develop AI/ML models for national defense applications in the Dayton, OH area, using Python, PyTorch, TensorFlow, and LangChain to build computer vision, NLP, and multi-modal solutions for DoD customers.
Applied AI Engineer - Full Time
Builds and deploys AI/ML models and services for a product company, leveraging Python and Google Cloud Platform for data modeling and scalable solutions.
Sr. Applied AI Engineer - Wellness
Senior engineer building and deploying AI agents for wellness clients, owning end-to-end from data ingestion and CRM integration to real-time agent infrastructure using Python, TypeScript/Node, and cloud platforms.
AI Engineer
The AI Engineer will integrate AI/ML models and LLM-based applications into production systems while collaborating with data scientists to operationalize pipelines. The role involves building end-to-end Gen AI solutions and maintaining automated CI/CD pipelines.
Backend AI Engineer
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference/orchestration layers, data pipelines, and APIs/microservices—for GenAI, CV, and ML models in heavy industries, primarily using TypeScript/Node.js.