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
AI Software Engineer II (Credit)
Build and deploy AI-powered features for an automotive finance SaaS platform, integrating LLMs and cloud AI services into production applications.
Applied AI Scientist
Build and deploy AI models that turn satellite and geospatial data into actionable insights using vision-language models, multimodal systems, and reasoning models in Python with PyTorch/TensorFlow.
Principal AI Software Engineer (AHT)
Principal AI Software Engineer at Northrop Grumman builds and deploys large language models, NLP/NLU systems, and AI-driven decision tools for defense applications using PyTorch, TensorFlow, and cloud platforms.
Associate AI Software Engineer/ AI Software Engineer (AHT)
Develop and deploy AI/ML models (LLMs, NLP, computer vision) for defense systems, focusing on explainable AI and sensor/data fusion, using frameworks like PyTorch and TensorFlow.
Staff AI Engineer – Analytics & Domain Intelligence
Build AI-powered analytics systems that turn GM’s telematics, aftersales, and energy data into natural-language answers for business decisions, using Python, SQL, and cloud platforms.
Construction AI Engineer
Build and deploy AI agents and copilots that automate construction workflows, integrating predictive models and generative AI into tools used by project managers and superintendents.
Senior Agentic AI Engineer, Simulation and Evaluation
Build agentic AI systems to automate simulation, evaluation, and performance analysis for NVIDIA’s LPU and GPU platforms, focusing on emerging AI workloads like reasoning models and coding agents.
Senior AI Engineer, Agentforce Reasoning
Build and scale the Agentforce Reasoning Engine, a Python/FastAPI service that orchestrates multi-agent workflows and integrates with LLM backends to power intelligent agent reasoning at scale.
Senior Principal Architect, Applied AI Enterprise
Lead the design and deployment of enterprise-scale AI agent systems at Caterpillar, focusing on agentic architectures, orchestration, and integration with cloud AI platforms.
Amazon GenAI Experiences Demo Architect , AWS Professional Services
Build and deliver AI demos for AWS customers, translating GenAI capabilities into business value through hands-on tours and presentations for industries like finance, healthcare, and government.
Senior GenAI Engineer — AI Enablement & Agentic Systems-1
Build and deploy enterprise GenAI tools and autonomous agent workflows to automate business processes across departments at Samsung Ads, using AWS Bedrock, Claude, and RAG pipelines.
Associate AI Engineer
Designs and builds AI systems and data pipelines to automate university operations, focusing on LLM integration, ML model deployment, and enterprise system integration using Python, TensorFlow/PyTorch, and cloud services.
AI Engineer: DevOps & Application Support
Maintain and support an in-house AI platform (Open Web UI) and its DevOps pipelines, troubleshooting issues and deploying updates for ~2,500 users while occasionally contributing to core AI platform development.
Principal Agentic AI Engineer
Build ZoomMate’s agent harness—runtime, orchestration, tool integration, memory, and evaluation layers—so product teams can embed AI agents with minimal integration cost.
Lead GenAI Forward Deployed Engineer, YouTube GTM Operations
Lead engineering for YouTube’s AI Accelerator, building GenAI prototypes (LLMs, RAG, agents) and deploying production-grade AI systems to transform GTM operations.
Senior Forward Deployed Engineer, GenAI, YouTube GTM Operations
Build and deploy GenAI solutions (LLMs, RAG, agentic workflows) to transform YouTube’s GTM operations, bridging AI innovation with production-grade systems.