AI Engineering Jobs in United States
There are 3,909 open AI Engineering jobs in United States on freehire right now. 1,111 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 | $173,950 | $210,000 | $244,875 | 567 |
| USD | hour | $25 | $38 | $55 | 25 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 96%
- llm 70%
- python 65%
- machine-learning 58%
- agentic-ai 56%
- cloud 51%
- api 48%
- rag 38%
How the work is done
- Remote 723 · 18%
- Hybrid 603 · 15%
- Onsite 562 · 14%
Visa sponsorship offered in 53% of the 469 postings that state a position on it.
Seniority
- Senior 850
- Lead 328
- Staff 234
- Principal 200
- Intern 139
- C-level 114
Who is hiring
- 1000+ employees 348
- 501-1000 employees 148
- 11-50 employees 71
- 51-200 employees 42
- 1-10 employees 12
- 201-500 employees 12
AI Engineer
Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver. We combine mission experience, domain…
Senior Privacy Review Specialist (AI/LLM Governance)
Conduct end-to-end privacy reviews of AI/LLM products, features, and data pipelines for a major US tech client — assessing training, inference, and consent risks and recommending safeguards under GDPR, CCPA, and the EU AI Act. Remote within the US, aligned to West Coast hours, at $50–100/hr.
Senior AI Engineer (US)
Senior AI Engineer building the agents and models behind Ares, Assail's autonomous offensive-security platform for APIs, web, and mobile apps. Day to day: agent orchestration and prompting, LLM fine-tuning (SFT, DPO/GRPO), self-training loops, security-specific evals, and production reliability using Python, PyTorch, Hugging Face, vLLM, and Kubernetes.
Azure Cloud AI Engineer
Azure Cloud AI Engineer – Azure OpenAI, TypeScript/Python & CDKTF Job Summary We are seeking an experienced Azure Cloud AI Engineer with hands-on expertise in Azure AI services, cloud infrastructure automation, and…
AI Engineer
Builds and ships the multi-agent LLM reasoning engine behind CipherData's AIDR security product, which turns telemetry from 70+ security vendors into actionable investigation conclusions. Day to day: agent architecture, LLM orchestration pipelines, evaluation harnesses, and reliability work to reduce hallucination in production.
Senior AI Engineer
Senior AI Engineer to architect Dexter's AI agent systems that reason over complex factory data for manufacturing teams, owning agent planning, retrieval, memory, tool orchestration, and evaluation infrastructure. Core stack is Python and LLMs, including model selection, fine-tuning, and on-prem/air-gapped inference.
Founding AI Engineer
Founding AI Engineer at an early-stage startup who owns the entire intelligence layer of a personalized, privacy-first AI assistant — building multimodal context understanding, memory/personalization infrastructure, retrieval and reasoning, and the production AI pipelines. Core stack: Python, backend systems, LLMs/VLMs and open-source models.
Staff AI Product Engineer
Staff engineer defines the AI platform’s architecture, APIs, and standards that multiple teams rely on to build and scale GenAI services reliably and efficiently.
Staff AI Product Engineer
Staff-level AI engineer setting technical direction for Nscale's GenAI cloud inference platform — dedicated/serverless inference, bring-your-own-model deployments, and post-training services. Deep specialization expected in areas like KV cache/performance, GPU kernels (CUDA/Triton), evals, RL for LLMs, or serving engines (vLLM/SGLang), built on Python, PyTorch, and Kubernetes GPU clusters.
Principal AI Product Engineer
Principal-level engineer to own the multi-year roadmap and architecture for Nscale's inference, evals, and post-training platform on its GPU cloud, setting standards that 20-50+ engineers build to. Core work spans GPU kernel efficiency, serving/KV cache architecture, quantization, benchmarking/evals, and RL infrastructure. Salary $290k-$443k USD plus bonus and equity.
Forward Deployed AI Architect (GenAI, AWS)
Forward Deployed AI Architect at an Anthropic/AWS partner consultancy: embeds inside client teams (banks, insurers, health systems), learns their business from the inside, then builds and ships production GenAI systems on AWS using Claude, Claude Code, and Cowork, owning presales through deployed, evaluated LLM solutions.
CUDA / AI Engineer
An engineer/researcher role focused on optimizing LLM inference on modern GPUs: developing and tuning CUDA kernels, analyzing GPU memory and execution bottlenecks, and benchmarking latency and throughput with frameworks like vLLM, SGLang, and TensorRT-LLM. Deep CUDA/GPU programming and low-level performance debugging skills are central to the day-to-day work.
Product Manager, GenAI, DeepMind
Product manager on DeepMind's Applied team, defining the product strategy and roadmap for bringing Gemini model capabilities into Google's first-party products. Day to day involves partnering with research teams, benchmarking new LLM capabilities, and experimenting with agentic harnesses.
AI LLM SME Portfolio Intake Project Manager
Koniag IT Systems, LLC a Koniag Government Services company, is seeking an AI LLM SME Portfolio Intake Project Manager with a TS/SCI security clearance to support KITS and our government customer in Arlington, VA.…