AI Engineering Jobs in United States
There are 3,849 open AI Engineering jobs in United States on freehire right now. 837 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 | $163,875 | $200,675 | $240,162 | 712 |
| USD | hour | $35 | $57 | $68 | 22 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 89%
- llm 57%
- python 53%
- machine-learning 49%
- agentic-ai 48%
- cloud 41%
- api 38%
- generative-ai 34%
How the work is done
- Remote 671 · 17%
- Hybrid 541 · 14%
- Onsite 358 · 9%
Visa sponsorship offered in 54% of the 858 postings that state a position on it.
Seniority
- Senior 963
- Lead 322
- Principal 210
- Staff 203
- C-level 81
- Intern 69
Who is hiring
- 1000+ employees 855
- 501-1000 employees 323
- 11-50 employees 134
- 51-200 employees 96
- 201-500 employees 21
- 1-10 employees 15
AI Agent Engineer
Design, develop, and deploy AI agents on Databricks, build evaluation frameworks with MLflow, and drive continuous agent quality improvement for an electric vehicle maker. Core tech: Databricks (Mosaic AI), MLflow, Python, SQL, Delta Lake.
Senior Agentic AI Software Engineer
Senior engineer builds autonomous AI agents and retrieval systems to modernize legacy software for federal healthcare, delivering explainable, traceable answers from decades of source code.
Senior Applied AI Engineer
Senior AI engineer builds and optimizes agentic AI systems that analyze legacy software codebases for federal healthcare modernization, using LLMs, RAG, and autonomous agents to deliver explainable, traceable answers.
Senior Front-End Agentic AI Engineer
Senior front-end engineer building an AI platform that lets engineers query legacy codebases in plain English, with explainable, traceable answers; core stack is React, TypeScript, and streaming APIs.
Embodied AI Engineer
Designs and deploys robot learning systems for LG’s next-gen home robots, scaling embodied AI models from research to real-world products.
Lead Software Engineer (.Net Core + LLM's)
Hands-on lead engineer shipping production C#/.NET services, React/TypeScript frontends, and Python-based LLM agentic applications across risk, compliance, and AI-powered payments platforms on Azure/AKS.
Agentic AI Engineer - Dallas, TX, Austin, TX, Houston, TX, San Antonio, TX.
Develop scalable AI platforms using cloud-native architectures, event-driven systems, and enterprise AI frameworks; design AI orchestration services for autonomous decision-making and enterprise integrations.
Technical Project Manager – Snowflake & AI/GenAI- 8 yrs- Boston, MA – Onsite
Technical Project Manager overseeing Snowflake migration/modernization projects with a solid understanding of AI/GenAI concepts, working onsite in Boston with architects and engineers.
Senior-AI Engineer
Senior AI Engineer developing and integrating machine learning models and AI systems into mission systems at a defense contractor, collaborating cross-functionally across the engineering lifecycle.
Senior AI Engineer
Builds production-grade AI agents to monitor, troubleshoot, and optimize enterprise AI systems, owning end-to-end workflows from research to deployment. Core focus: agent behavior, evaluation pipelines, retrieval/context systems, and observability.
Amazoncom Senior Software Engineer, AWS Applied AI Solutions
Designs and owns AI agent governance systems, including identity architecture and policy enforcement, while driving technical decisions and mentoring engineers.
AI Engineer
Designs and builds AI-powered tools (LLMs, RAG, agents) for enterprise software engineering and DevSecOps, integrating with Azure cloud and ensuring compliance with VA AI governance.
Applied AI Engineering Intern
Develops and extends an AI agent harness for trading infrastructure, integrating data sources, orchestrating workflows, and ensuring secure, isolated execution across Slack, Postgres, and Kubernetes.
AI Engineer/Forward-Deployed Engineer
Design, build, and operate production-grade AI solutions (LLM pipelines, copilots, agents, RAG) in enterprise environments using .NET, Azure, SQL, and React/Angular, working directly with business stakeholders to translate needs into deployed workflows.