AI Engineering Jobs in United States
There are 3,914 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 | $202,000 | $242,000 | 692 |
| 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 41%
- api 38%
- generative-ai 35%
How the work is done
- Remote 683 · 17%
- Hybrid 547 · 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 219
- Staff 216
- C-level 77
- Intern 72
Who is hiring
- 1000+ employees 853
- 501-1000 employees 326
- 11-50 employees 134
- 51-200 employees 98
- 201-500 employees 19
- 1-10 employees 15
Senior AI Engineer — Agents
Build and own LLM-powered agentic systems that automate healthcare navigation tasks for Medicare beneficiaries, integrating retrieval, evaluation, and production monitoring.
Software Engineer, Applied AI / Product
Builds and maintains an AI-powered agentic platform that streamlines complex medical-legal workflows for physicians, focusing on reliability, evaluation frameworks, and user-facing tools.
Lead Engineer, Cloud and Generative AI
Lead Engineer - Cloud & Gen AI Location: United States Of America, Connecticut, Orange Job Description Lead Engineer - Cloud & Gen AI Reports to: Senior Manager - IT Infrastructure Location: In Office , Orange…
Software Engineer (Applied AI)
Staff-level engineer building and deploying LLM-powered tools to optimize Apple’s manufacturing and operations, integrating models like GPT, Llama, and custom fine-tunes into production systems.
AI Engineer
Title: AI Engineer Company: Everest Global Services, Inc. Job Category: Technology Job Description: About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling…
The Core Engineering, Dallas, Vice President, AI Engineer
Organization The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for the firm’s Risk, Controllers, Compliance, Corporate Treasury,…
LLM Ops Engineer
Build and operate a secure, scalable AI platform to deploy and manage LLM services across providers, ensuring high availability, cost efficiency, and enterprise-grade governance for legal-tech products.
Amazon Applied Scientist (GenAI/LLM), Sandstone
Build generative AI and LLM models for Amazon’s e-commerce platform, focusing on foundational behavioral models that blend world knowledge and shopping behavior.
Principal Applied Research Scientist – Generative AI and NLP
Lead R&D on large-scale generative AI and NLP models for Yahoo Mail, optimizing transformers, distillation, and evaluation frameworks to power personalized inbox experiences for hundreds of millions of users.
AI Automation Engineer / Developer
Build and automate AI-powered workflows for a Maryland immigration law firm, integrating tools for client intake, document generation, and case tracking while developing custom internal software.
Amazon Specialist SA, GenAI NGDE Media & Entertainment , ASPI MEGS
Solutions Architect at AWS guiding media & entertainment customers to adopt GenAI and Agentic AI on AWS, designing cloud-native architectures and enablement programs.
AI Engineer, Principal - TS/SCI w/Poly
Build and optimize AI-powered applications using LLMs, RAG, and AI agents, while designing scalable AI infrastructure and collaborating with cross-functional teams.
Applied AI Engineer
Build and deploy AI systems to optimize NVIDIA’s chip-design toolchain, including LLM-powered validation pipelines and cross-team automation, using Python and deep-learning frameworks.
Applied AI Engineer
Build and deploy AI systems to automate and optimize NVIDIA’s chip design and validation workflows, integrating LLMs and agentic tools into silicon development pipelines.