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
Product Manager II, YouTube Generative AI Security
Product Manager on YouTube's AI Safety team, defining risk principles and building defense-in-depth security strategy, systems, and tools for YouTube's Generative AI products (e.g., Ask on Search). Day to day: owning multi-year security roadmaps, driving secure-coding culture and threat modeling across YouTube developers, and partnering with Research and Engineering to ship AI-powered security fea
Business Applications & AI Engineer
Serve as the primary technical owner and subject matter expert for business applications including Dynamics 365, Power Apps, Dataverse, HubSpot, Microsoft Copilot, and other enterprise business systems. Design,…
Forward Deployed Engineer, Lead - AI Engineer
Lead Reflection's Forward Deployed Engineering function, owning end-to-end delivery of enterprise agentic AI applications from pre-sales discovery through production across cloud, VPC, and on-prem environments. Day-to-day blends hands-on building of LLM/RAG/agent systems (Python, TypeScript, Docker, Kubernetes) with model fine-tuning, customer-facing solution architecture, and scaling the team.
Forward Deployed Engineer - AI Engineer
Forward Deployed Engineer on Reflection's Applied AI team, owning the technical strategy and delivery of agentic AI systems for enterprise customers from discovery through production launch. Day to day involves building LLM/agent workflows (Python, TypeScript), deploying to cloud/hybrid environments with Docker, Kubernetes and CI/CD, and fine-tuning models with research teams.
AI Research Engineer
Designs, trains, and productionizes the LLMs behind The Path's AI Therapist: fine-tuning, RL environments, training data curation, eval/safety stacks, and owning the path from notebook to deployed, monitored production models, while partnering with clinicians on clinical guardrails.
Founding AI Product Engineer, Multifamily
First product/engineering hire for Extenteam's multifamily property management division: you'll independently design, build, and ship AI-driven automation — agentic workflows, Claude API pipelines, and MCP integrations — turning manual property-management operations into a scalable product.
AI Research Engineer
AI Research Engineer on Cobot's Foundational Models team: designs and trains large-scale models (transformers, diffusion) and reinforcement-learning algorithms, building experimental ML pipelines and prototyping research into working code for collaborative robots. Onsite in Seattle; core stack is Python with PyTorch/JAX/TensorFlow.
AI Engineer
Designs, builds, and deploys the machine learning systems that form the intelligence layer of an AI-native IT Service Management (ITSM) platform — ticket triage, incident prediction, knowledge extraction, and workflow automation using LLMs, embeddings, and RAG. Hands-on role with Python, PyTorch/TensorFlow, and MLOps, on-site in Manhattan.
Manager, Applied AI Engineering
Overview Impact the Moment At McGraw Hill, our mission is to unlock the full potential of every learner. This role puts you at the center of that mission, applying AI to products used by millions of students and…
Applied AI Architect, Strategic Enterprise Tech
Pre-Sales AI Architect at Anthropic helping strategic enterprise customers integrate Claude into their tech stacks—designing LLM solutions, building proofs-of-concept, and guiding adoption roadmaps alongside Sales, Product, and Engineering teams.
Software Engineer I - LLM Observability
Software Engineer I on Honeycomb's LLM Observability team, building end-to-end AI observability features — from data ingestion to in-product visualizations that show what agents do, their cost, token usage, and errors. Full-stack work in Go/Python and TypeScript/React at a fully distributed observability (devtools) company.
Senior AI Engineer, Evaluation & Optimization
Senior AI infrastructure engineer at Vantaca/HOAi who owns the systems, evaluations, and feedback loops behind millions of production AI tasks — building TypeScript/Node.js services for model routing, retries, and observability, and running experiments to maximize successful task completion per dollar across LLM providers.
Founding AI Agent Engineer
Founding engineer building autonomous AI agents that recruit and retain patients in clinical trials via voice, SMS, and email. Day to day: orchestrating fleets of LLM-powered agents across hundreds of trials, keeping conversations consistent and personalized across channels. Onsite in San Francisco at a seed-stage healthcare AI startup.
AI Engineer
Senior AI engineer at a security startup who turns research models into production systems: owning retraining, evaluation/release gates, monitoring, and efficient inference both on the endpoint and in the cloud. Core stack is Python plus a systems language (C/C++, Java, Rust or Go), with edge inference and LLM/agentic work.
Member of Technical Staff - Applied AI
Builds sophisticated AI agents end-to-end at DoorDash's small applied AI lab, working directly with the cofounder on agent design, evaluation methods, and human/synthetic data curation to personalize customer experiences and optimize global logistics. Core focus: LLM agent systems, evals, and shipping research at real-world scale.
Lead AI Software Engineer
Leads design and delivery of AI-based product solutions at Commerce (parent of BigCommerce), shaping AI strategy and building production agentic AI systems (RAG, MCP, LLM agents) with server-side Python/Go/Java on cloud platforms, plus mentoring. Hybrid role based in the Austin or Atlanta metro, three days per week in office.
Lead AI Engineer
Lead a small team at blockchain security firm Sherlock to build an AI/LLM-powered vulnerability-detection application for smart contracts, starting with Solidity. Day to day: track cutting-edge AI/LLM research, understand blockchain exploits, and architect a production-grade detection tool with Sherlock's developers and security researchers.
Principal Applied AI Engineer
Hands-on technical leadership role shaping applied AI at Abrigo, a fintech serving community financial institutions. You design and deliver production LLM/agent systems (retrieval, tool calling, orchestration), build reusable agent frameworks and standards, and mentor teams, based in Raleigh, Austin, or remote.