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
GenAI Cloud Engineer
Builds and deploys enterprise-scale GenAI solutions — AI agents, agentic RAG apps, and cloud-native AI platforms — for a client in Newark, NJ (hybrid, 3 days onsite, long-term contract). Core stack: Python, JavaScript/TypeScript, AWS (Lambda, Bedrock, AgentCore), LangChain/LangGraph, and vector databases.
Agentic AI Engineer (Founding-Team Interest, Equity Only)
Equity-only (0.6%) founding-team interest role building the runtime for Julius, a compound AI agent that plans, dispatches, executes, recovers and reviews long multi-step missions on real codebases. Core work: multi-agent orchestration, durable execution, tool calling, LLM orchestration and testing non-deterministic systems.
Principal AI Engineer
Hands-on Principal AI Platform Engineer at Homecare Homebase (a Hearst company) in Dallas, building the company's 'AI software factory' — an agent platform that takes specs to pull requests against its .NET/Azure production codebase. Daily coding of agent templates, MCP tooling, evaluation/PHI guardrails, plus mentoring teams to build on the platform.
Applied AI Engineer
Embedded Applied AI engineer at Snowplow who owns and productionizes the Growth team's go-to-market AI workflows: LLM-driven outbound sequences, campaign building, intent scoring, and signal/enrichment pipelines into Snowflake. Core stack is Python, SQL, git, LLM agents, dbt, and automation tools like n8n, Clay or Zapier.
Principal AI Platform Engineer, Applied AI
Principal engineer who leads Snowplow's internal Applied AI platform (Firn), bringing GTM data and services onto it and building production-grade agents, tools, and learning loops. Day to day: platform architecture (MCP/LLM gateways, tracing, evals) with Python/TypeScript, SQL, Snowflake/dbt and LLM systems.
Senior Applied AI Engineer/Architect
Designs and delivers enterprise AI solutions using LLMs, agents, RAG, and cloud platforms; advises clients on AI strategy, governance, and implementation while building reusable AI frameworks.
Applied AI Engineer - Health
On Apple's Health Personalization team, you prototype, develop, evaluate, and ship Generative AI experiences for real-world health and wellbeing products across the full ML lifecycle, including on-device interactions. Core work involves Python, LLMs/evaluation systems, with Swift/SwiftUI prototyping a plus.
Sr. AI Engineer
Senior AI engineer on 6sense's production agentic platform: builds LLM agents, the MCP server, and the APIs/tools layer that expose 6sense's B2B revenue-intelligence data to customers, partners, and AI tools. Day-to-day is hands-on Python — LangGraph orchestration, MCP/tool design, evaluation, and security.
Adjunct Instructor, Applied AI Engineering - New Mexico State University - Spring 2027 (In-Person, Master’s Degree Preferred)
Seasonal part-time (up to 10 hrs/week, Jan–May 2027) adjunct instructor teaching CodePath's applied AI course in person at New Mexico State University in Las Cruces, NM, at $75/hour. Delivers lectures on generative AI and LLMs using CodePath's curriculum, coordinates TAs, and tracks course KPIs; requires Python, 4+ years software engineering experience, and preferably an MS/PhD in CS.
AI Engineer
AI Engineer at Ford in Dearborn, MI (on-site 4 days/week) building analytical, machine learning, and AI solutions to improve customer experience, revenue, and efficiency. Works the full ML lifecycle — preprocessing, feature engineering, training, evaluation, deployment — using Python (TensorFlow, PyTorch, scikit-learn), GenAI, and cloud/AI platforms.
Agentic AI Developer
Designs and builds LLM-powered AI agents and automated workflows for federal clients (e.g., DLA and NAVSUP) such as contract modification automation and invoice reconciliation, using Python and agent orchestration frameworks with evaluation, guardrails, and executive-facing demos.
Principal Attack Engineer, AI/LLM
Principal-level offensive security engineer who defines Horizon3's long-term AI/LLM attack strategy, turning research on breaking LLM and agentic systems into autonomous attack capabilities inside the NodeZero pentesting platform. Day to day: company-wide technical leadership, prompt-injection/agentic attack research, LLM system architecture, and mentoring senior engineers.
Staff Software Engineer, Applied AI
Staff engineer on Peregrine's Applied AI team builds and ships generative-AI-driven features for a public-safety/government data platform, owning major components end to end. Day-to-day work spans a Python/Django/Kafka backend, React frontend, ML in Bedrock/Sagemaker, and AWS/Kubernetes infrastructure, onsite in Washington, DC.
Forward Deployed Engineer, Applied AI
Snowplow is hiring its first Forward Deployed Engineer on the Applied AI team to embed with internal business functions, map how their work actually runs, build agentic AI workflows on the company's shared framework, and hand them off. Requires production LLM/agent experience and fluency in Python, TypeScript, or Go.
AI Engineer, Time-Series Signal Processing
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
AI Engineer
AI engineer at quantitative trading firm Radix Trading builds firmwide AI infrastructure and production-grade LLM applications and agentic workflows (RAG, LangChain/LangGraph, guardrails, eval harnesses), using Python and modern C++ to support automated trading, alpha research, and petabyte-scale ML systems.
Finance & Strategy AI Engineer
Build and maintain AI-driven financial data pipelines and forecasting systems using Python, Databricks, and LLMs to automate finance processes for a public IoT platform company.