AI Engineering Jobs in United States
There are 3,830 open AI Engineering jobs in United States on freehire right now. 837 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 | $163,870 | $200,925 | $239,412 | 710 |
| 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 663 · 17%
- Hybrid 538 · 14%
- Onsite 349 · 9%
Visa sponsorship offered in 54% of the 855 postings that state a position on it.
Seniority
- Senior 957
- Lead 321
- Principal 210
- Staff 202
- C-level 81
- Intern 69
Who is hiring
- 1000+ employees 855
- 501-1000 employees 321
- 11-50 employees 133
- 51-200 employees 95
- 201-500 employees 21
- 1-10 employees 15
LLM Inference Engineer
Architect and maintain high-traffic LLM serving systems, optimizing throughput and latency using inference engines like SGLang, vLLM, and TensorRT alongside GPU programming tools like CUDA and PyTorch.
Lead AI Engineer - AWS Platform
The Lead AI Engineer will build and scale production-grade AI and Generative AI solutions on AWS to modernize core insurance platforms. This is a hands-on engineering role focused on delivering real-world systems rather than pure research.
Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers
Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance…
AI Engineer - Workflows
Build and own modular AI workflow operations and evaluation harnesses for an agentic AI platform serving institutional real estate, ensuring output quality meets the bar of senior professionals.
AI Engineer - Platform
Owns the platform experience—workflow builders, external integrations (email, Slack, API), and internal automation—for an AI company building agentic workflows for institutional real estate.
AI Engineer - Assistant Experience
AI Engineer owning 'Dougie,' an agentic AI harness for institutional real estate workflows — building memory layers, wiring grading into execution, improving agent orchestration (planning, tool use, recovery), and reducing human-in-the-loop time in production.

AI Software Engineer II
Build and deploy AI-powered applications and agents using LLMs for engineers and operators in a rocket factory and launch platform, shipping reliable software in Python, Go, React, and TypeScript.

AI Software Engineer
Build AI-powered applications and agents for rocket engineering teams using Python, Go, and LLM frameworks, deployed on AWS and Kubernetes.
AI Engineer - Assistant Capabilities
Hands-on AI Engineer building production agentic workflows for real estate diligence, planning, and execution using LLMs, Python, RAG, and agent frameworks in NYC.
Principal Software Engineer - LLM Optimization
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION At JPMorganChase, we are building the infrastructure that powers the next generation of…

AI Engineer, Evals & Agent Quality
Build eval frameworks, golden datasets, and model routing systems to measure and improve a personalized AI assistant's multi-step agent trajectories across email, calendar, Slack, and other tools.
Founding AI Engineer
As a founding AI engineer, you will build and deploy computer vision and LLM-based systems to transform construction documents into actionable insights. You will own the end-to-end AI intelligence layer, working directly with users to prototype and ship production-grade models.
AI Software Engineer
AI Software Engineer designing and deploying end-to-end enterprise AI applications using LLMs, RAG, React/TypeScript frontends, Python backends, and Azure cloud infrastructure with full product lifecycle ownership.