AI Engineering Jobs in United States
There are 3,907 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 | $201,500 | $241,700 | 689 |
| 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 680 · 17%
- Hybrid 548 · 14%
- Onsite 357 · 9%
Visa sponsorship offered in 54% of the 859 postings that state a position on it.
Seniority
- Senior 963
- Lead 331
- Principal 220
- Staff 216
- C-level 77
- Intern 72
Who is hiring
- 1000+ employees 852
- 501-1000 employees 324
- 11-50 employees 134
- 51-200 employees 98
- 201-500 employees 19
- 1-10 employees 15
Sr Java AI Engineer
Senior Java AI Engineer building AI-powered applications using Java, Spring, and cloud services like AWS and OpenShift, with frontend exposure in Angular/React.
AI Engineer
Build and lead an AI agent that answers benefits questions using Python, Azure AI Services or AWS Generative AI, REST APIs, and future IVR/contact center integrations.
Applied AI Engineering Director
Lead the design and deployment of AI-first solutions for investment, corporate, and commercial banking, integrating LLMs, NLP, and agentic AI into banker workflows.
Member of Technical Staff - Applied AI Engineering [Bay Area]
Build and deploy enterprise-grade AI agents that integrate with regulated workflows, customize models for customer domains, and own production systems from prototype to scale.
Backend Node.js AI Engineer — API & Microservices
Designs scalable backend APIs and microservices in Node.js, integrating AI capabilities like LLMs, RAG, and vector search for enterprise applications, with a focus on production reliability and real-world tooling.
AI Engineer
Salary: Base Salary + Super + Bonus MinRes can offer you! ASX 200 Company - A dynamic global leader with cutting edge innovation We invest in your career, with a focus on leadership, upskilling, training and…
Generative AI Engineer — React & LLMs for Enterprise
Build enterprise AI apps with React/TypeScript and integrate LangGraph, RAG, and MCP-based solutions using LLMs and agentic workflows.
Senior React Engineer—Generative AI & Scalable UI
Build secure, scalable React frontends for AI-powered tools at JPMorgan Chase, collaborating with product, backend, and design teams to deliver high-quality UI experiences.
Backend Node.js Engineer - AI/LLM Integration
Builds scalable Node.js/TypeScript backend services that integrate LLMs, RAG pipelines, and vector search for enterprise AI features like chatbots and intelligent Q&A.
AI Engineer
CXO AI Engineer Location: United States Department: Customer Experience Operations Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial…
Senior AI Engineer, Agentic Data Enrichment
Build and own LLM-driven agents that crawl, search, and extract structured evidence from the web to verify businesses and individuals for trust scoring in a real-time identity graph.
AI Agent Engineer
Build and optimize voice AI agents for debt collection using LiveKit, prompt engineering, and real-time speech systems to automate millions of consumer interactions.
Forward Deployed Engineer, Applied AI & Search
Embed with a global manufacturer to design and ship governed agentic search workflows using Python/C# and enterprise search engines, bridging customer needs with Sinequa’s AI platform.
Internal Systems Engineer (Applied AI)
Build and deploy AI-powered tools and agentic workflows for customer operations teams, integrating LLMs, RAG, and APIs to automate support, onboarding, and implementation tasks.
Threat Intel - AI / LLM Trainer - Make Your Own Hours
Evaluate AI-generated cybersecurity threat responses using human feedback to train and refine models that detect and mitigate evolving cyber threats.
Applied AI Engineer
Build and ship AI-powered features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.