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
Senior AI Developer
Valiant Residential is seeking a Senior AI Developer to own and build production AI applications for our multifamily operating company that will solve real operational challenges across our organization. Reporting…
Citizen - Head of Product, Applied AI
Citizen: No.1 US public safety app + Citizen Enterprise (NYC, 150 ppl, $133M; 8VC, Founders Fund). Comp: $265K-$310K + equity. Location: On-site 5 days NYC. Visa: Open to visa transfers (OPT, H1B). Responsibilities…
Rengo AI - Software Engineer, Applied AI
Rengo AI: AI-native data platform for alternative investment managers (NYC, $2M, Primary Ventures). Comp: $165K-$290K + equity. Location: On-site 5 days NYC. Visa: Open to visa transfers (OPT, H1B). Responsibilities…
Future - Staff Applied AI Engineer
Future (future.co): personal fitness/health coaching; building the AI foundation of a new Health Coach product. $110M raised; board includes Tom Brady, Eddie Cue, Adam Bain. Comp: $250K-$300K base (SF rates for all US)…
Research Scientist Intern, Multimodal Generative AI and Robotics (PhD)
The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of contextual AI and robotics. The Surreal Vision group at RL Research is seeking…
AIVC - Senior AI Engineer (Studio)
AIVC Studio: builds AI ventures from validated concepts to shipped products. Comp: $190K-$250K + Bonus, platform equity, studio fund participation, PE fund carry. Location: Hybrid, 3 days in office (21st & Broadway NYC…
AfterQuery - Senior Infrastructure Engineer, Applied AI
AfterQuery: novel datasets and data infrastructure for frontier AI labs (85 people, $34M raised, SF). Comp: $250K-$350K base (OTE $300K-$450K (bonus up to $100K)) + competitive equity. Location: On-site 5 days, FiDi…
AI Developer
On-site AI developer in the Indianapolis area who builds AI-powered features — assistants, agents, MCP connectors, and RAG solutions — into SGI's custom web applications for pharmaceutical marketing fulfillment, using Claude and AWS-hosted models within a regulated, security-focused environment.
Staff Applied AI Engineer, Agentic Systems
Staff engineer who designs and ships agentic AI systems for aviation — agents that reason over complex documents, use tools, and produce reliable, explainable results in production. Stack centers on Python, LangGraph, BAML, AWS Bedrock, PostgreSQL/pgvector, and event-driven AWS infrastructure.
Research Scientist/Engineer - LLM Efficiency
Research and engineer efficient large language and diffusion models, publishing cutting-edge ML work that powers Apple’s products.
AI Engineer Apprentice
A paid, one-year registered remote apprenticeship for U.S. military veterans living in Utah or Idaho, combining 2,000 hours of on-the-job full-stack development (C# .NET, React.js, SQL, DevOps) with applied AI work like prompt engineering and LLM integration, plus 144 hours of structured instruction, at a progressive $7.25-$10/hr wage.
AI Engineer, Software
Build and deploy AI agents for enterprise clients using TypeScript, integrating LLMs and AI frameworks into scalable platforms while ensuring security and compliance.
AI Engineer
Entry-level (0–2 years) full-stack AI engineer at digital services firm Brillio, on-site in Coppell, TX. Day to day: build Java microservices, React/Node.js web apps, and agentic AI features on AWS or Azure, using AI-assisted tools like GitHub Copilot, Claude, and Codex.
Founding AI Engineer
Founding AI Engineer designing, building, and deploying production-grade LLM systems for a startup legal platform: agent-based workflows, evaluation frameworks, and document/OCR data pipelines. Core stack is TypeScript with LLM frameworks like LangChain, plus RAG, prompt engineering, and tool integration.
FurtherAI - Staff AI Engineer
Source: Paraform - · Company: Location: On-site, 5 days/week in San Francisco · Full-time · Salary $225K - $350K plus competitive equity · Open to visa transfers (e.g. OPT, H1B transfers), case-by-case basis About…
Applied AI Staff Agent
🚨 𝗪𝗘’𝗥𝗘 𝗛𝗜𝗥𝗜𝗡𝗚 | 𝗔𝗣𝗣𝗟𝗜𝗘𝗗 𝗔𝗜 / 𝗦𝗧𝗔𝗙𝗙 𝗔𝗚𝗘𝗡𝗧 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 🤖 𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗿𝗼𝗹𝗲 𝘄𝗮𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗮𝗯𝗼𝘂𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜, 𝗯𝘂𝘁 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴…
Staff Applied AI / Agent Engineer
🚨 𝗪𝗘’𝗥𝗘 𝗛𝗜𝗥𝗜𝗡𝗚 | 𝗔𝗣𝗣𝗟𝗜𝗘𝗗 𝗔𝗜 / 𝗦𝗧𝗔𝗙𝗙 𝗔𝗚𝗘𝗡𝗧 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 🤖 𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗿𝗼𝗹𝗲 𝘄𝗮𝘀𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗮𝗯𝗼𝘂𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜, 𝗯𝘂𝘁 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴…
Arzana - Founding AI Product Engineer
Source: Paraform - Compensation: $215,000-$235,000 base + 0.25%-0.5% equity. Up to $10,000 relocation support. Location: New York, NY - on-site 5 days/week; ~5 days/month travel to customer plants. Visa: Open to visa…
Senior AI Engineer - Model Selection and Orchestration
Senior AI Engineer on Zip's AI Platforms team building the decision and orchestration layer for AI agents (customer-facing Zia and internal tools) — deciding when to use models, retrieval, tools, or deterministic logic based on quality, safety, latency, and cost. Hands-on production work with Python/TypeScript, LLM tool calling, RAG, and the Gemini Enterprise Agentic Platform at a Buy Now, Pay Lat
Member of Technical Staff, LLM & Production
Hands-on IC on Hark's Omni team building the production side of multimodal LLM development: owning evaluation harnesses run as production services, end-to-end data pipelines, and RL training environments (rewards, simulators, verifiers) alongside researchers. Core stack is Python, distributed systems, and LLM training/eval infrastructure.