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
DevSecOps AI Engineer
Designs, secures, and deploys cloud-native AI platforms for government and enterprise missions, building DevSecOps pipelines and operationalizing AI/ML workloads from prototype to production. Core stack: AWS GovCloud, CI/CD, infrastructure-as-code (Terraform), Docker/Kubernetes, and LLM/AI integration.
Research Scientist, GenAI, DeepMind
Research Scientist at Google DeepMind leading high-impact AI research programs — designing experiments, publishing state-of-the-art findings, and translating foundational advances into production systems. Core stack: Python and deep learning frameworks like JAX, PyTorch, and TensorFlow, with a PhD-level research background.
Generative AI Engineer, Graphics
AI/ML engineer on AMD's Applied Research team developing, training, and optimizing generative AI models for image generation, diffusion-based learning, and multimodal applications, with scalable training/inference pipelines tuned for AMD GPUs. On-site role; core stack is Python, C++, and ML frameworks like PyTorch.
Senior Software Engineer, Applied AI
Senior engineer on Commure/Athelas's Revenue Cycle Management AI team, building LLM-powered agents that automate healthcare claims, denials/appeals, and document extraction. Owns AI features end-to-end from prompt design and evals through production infrastructure, using Python/Go/C++, GCP/AWS, Docker, and Kubernetes.
Distinguished Engineer, Generative AI Engineering
Founding GenAI architect and hands-on player-coach at Slate Automotive, an affordable electric truck startup in Troy, MI. Builds and leads a lean GenAI team while staying in the code — architecting LLM apps, agents, RAG pipelines, model serving, and data layers, and deploying agentic systems across engineering, manufacturing, and GTM.
AI Engineer Architect
Designs an enterprise AI platform: evaluates use-case feasibility, picks cloud/on-prem/hybrid deployment models, and integrates AI/ML tooling with data management and analytics while collaborating with data scientists. Core stack: AWS AI/ML services, Python/R/SAS, DevOps (Git, Docker, Kubernetes, CI/CD), and APIs (Apigee, REST/JSON).
Founding Applied AI Engineer – Hardware
Engineer #4 at a seed-stage stealth startup building an AI engineer for complex-hardware manufacturers, starting with engineering compliance. Day to day: build a system-modeling product line, grow a ~100-user pilot at a major manufacturer, and do some on-prem infra for defense customers, in person in San Francisco.
Applied AI Engineer
Founding-level engineer (4 roles) at a new San Francisco AI lab building long-running autonomous agents that pursue goals over weeks or months. You own product areas zero-to-one across UI, agent workflows, model orchestration and infra, working in person in SF (9-9-6). $250k–$500k base plus 1–5% equity.
LLM Research Engineer - Scientific Discovery
LLM research engineer advancing frontier large language and multimodal models for molecular science and drug discovery: designing pre-training and post-training (RL, instruction tuning) pipelines, scaling distributed training, and optimizing on high-performance compute. Core stack: Python, large-scale ML systems, multimodal learning.
Backend Software Engineer - GenAI
Backend engineer owning production GenAI systems at an AI software company: designing RAG architectures, vector search, LLM integrations, and agentic tool-calling, plus the APIs, distributed services, and evaluation infrastructure that keep them dependable. Onsite in Arlington, VA or Seattle, WA.
Applied AI Engineer
Owns greenfield AI projects end to end: designing and shipping production AI agents (orchestration, tool use, memory, retrieval, multi-step reasoning) and coding-agent developer tools, plus reusable agent frameworks and internal AI infrastructure. Core tech: LLMs and agentic frameworks in production.
Agentic AI Engineer - Scientific Discovery
Software engineering role building AI agents, RAG systems, and LLM-powered research tools for computational drug discovery at a scientific research organization. Core stack is Python and generative AI; you take projects from prototype to production. Hybrid: 3 days/week in the NYC office; $250K–$600K base plus bonuses.
CUDA / AI Engineer
CUDA / AI Engineer Location: Uzbekistan (UZ) Experience Level: Senior Description MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across…
Senior Java Developer (with LLM expertise)
We are looking for a Senior Java Developer with LLM expertise to lead the technical design, development and integration of core banking application systems for a major financial services client. This role bridges…
AI Developer with Python
Mphasis seeks a Python AI developer (7+ yrs) to build production-grade GenAI applications: RAG solutions, LLM agents (LangChain/LangGraph/CrewAI), and backend APIs/microservices in FastAPI/Flask/Django, containerized with Docker and deployed to AWS/Azure/GCP with MLOps practices. Fully onsite 5 days/week in Sunnyvale, CA or Berkeley Heights, NJ.
Software Engineer (LLM Products)
Product-focused full-stack engineer building AI/LLM-powered products — conversational interfaces, autonomous research agents, and data tools — for political opinion research that supports Democratic campaigns and progressive organizations. Remote role (NYC office optional) working end to end with researchers, data scientists, and users.
AI Engineer - Quality and Post-Training
AI Engineer at Glean, the enterprise Work AI platform, focused on quality and post-training of LLMs and agents: hill-climbing with evals, SFT and preference/reward optimization (DPO, PPO, GRPO), building RL environments and LLM-based verifiers, and tuning model routing, prompts, and retrieval. Hybrid role based in Mountain View or San Francisco; Python and/or Go.
AI Engineer - Data and Evals
Builds the datasets, benchmarks, agentic LLM-judge verifiers, and eval platform/infrastructure that measure and improve the quality of Glean's enterprise AI assistant and agents. Core stack is Go and/or Python backend engineering with LLM/RAG evals, traces, and simulation environments; hybrid role (4 days/week) in Mountain View or San Francisco.
Agentic AI Engineer
Associate (A3)- Agentic AI engineer Department: AI Experience: 3 About VARTIS Platforms (Formerly known as LenDenClub Techserve Pvt. Ltd.) At VARTIS Platforms, we are a corporate group on a mission to democratize…
AI Research Scientist - GenAI
Remote contract role (40 hrs/week, $70–100/hr) with Mercor, which places expert talent with AI research labs. You design challenging agentic AI/data-science tasks, write ground-truth solutions, evaluate AI agent outputs, and build evaluation rubrics, drawing on ML, data science, and LLM expertise.