What Does an AI Engineer Do? A Job Description You Can Paste

An AI engineer (artificial intelligence engineer) ships products on foundation models they did not train: APIs, retrieval, agents, and evals. Stripe posts a US base of $126,600–$189,800 a year as of September 2026.

Pay figures are employer-posted ranges and labeled surveys, not compensation advice. Confirm the live posting before you offer or accept.

Key Takeaways

• The job is specialized software engineering on foundation models. A machine learning engineer trains and serves models. A prompt engineer owns prompting. Using Copilot at work is not this seat.
• Posted cash is not one number. Stripe lists $126,600–$189,800 US base as of September 2026. Anthropic and OpenAI lab bands run higher in the table below.
• There is no BLS or O*NET code named AI engineer. Software developers (SOC 15-1252) show a May 2025 median of $135,980. That analog is not an AI engineer wage.
• Mid-level Stripe and Anthropic US ask 4+ years. There is no required license. Vendor AI certificates are optional.

What an AI Engineer Actually Is

You are a software engineer who ships production systems around models someone else trained.

On r/webdev, the recurring confusion is treating ChatGPT or Copilot use at work as this job.

At Stripe the seat sits with Solutions Architecture. At Anthropic the US Enterprise Tech seat advises companies shipping Claude-API products.

This is an employer title. The United States has no SOC named "AI engineer." Closest official buckets, each a different occupation: software developers (15-1252), research scientists (15-1221), and data scientists (15-2051). Each wage on those pages is for that occupation, not for AI engineer.

Chip Huyen defines AI engineering in AI Engineering (O'Reilly, 2024) as building applications with readily available foundation models. Egor Howell (29 December 2025) draws the same line: the AI engineer integrates models such as Claude, GPT, or BERT and does not build those models.

Applied AI Engineer at OpenAI, NVIDIA, and Anthropic is this role. Research engineer and Staff Software Engineer, Applied AI are neighbors.

The job is not designing and training models from scratch. That line belongs on a machine learning engineer req.

What Does an AI Engineer Do All Day?

Stripe wants production tooling, agents, and workflow automation for Solutions Architecture: ship code daily, debug backend data-flow, use LLM tools beyond basic prompting, deploy and monitor on AWS or GCP, and write for non-engineers. Success is solutions-architect productivity, not a demo.

NVIDIA Applied AI Engineer work is silicon co-design tooling, LLM validation pipelines, and agentic frameworks. Anthropic Enterprise Tech advises companies shipping Claude-API products: architecture, evals, pilots, and code reviews.

OpenAI Applied AI Engineer, Enterprise, runs use-case to architecture to prototype to eval to production launch.

Across those seats the shared work is turning a workflow into an LLM system, then measuring quality, cost, and latency once it is live.

Training deep neural nets from scratch is a machine learning engineer duty. Prompting a chatbot is a prompt-engineer duty. Neither belongs on this req.

AI Engineer Salary in 2026

Each row is a different metric, city, and date. Stripe's posted base is not OpenAI's cash-plus-equity band.

Official U.S. analogs, labeled as other occupations:

• Software developers (SOC 15-1252): May 2025 median $135,980; outlook +10% for 2025–35. Closest analog for many product-company seats.
• Research scientists (SOC 15-1221): May 2025 median $140,300. Career pages that quote $145,080 as "AI engineer" salary are citing OEWS May 2023 for this SOC, not this title.
• Data scientists (SOC 15-2051): May 2025 median $120,230; outlook +35% for 2025–35.

Named aggregators, labeled by method. None of these is a national median for this title:

• Levels.fyi AI Engineer title median total compensation $154,000 (25th $110,000 / 75th $215,000 / 90th $300,000), last updated 25 September 2026. Self-report TC, not base. Applied AI Engineer median TC $250,000 as of 25 September 2026.
• Indeed AI/ML Engineer U.S. average $152,953 from 1.8k salaries, updated 20 September 2026. Mixed title, job-board scrape.
• ZipRecruiter Artificial Intelligence Engineer average $106,386 as of 19 September 2026 (median $92.9k). Far below named-employer bands.

The World Economic Forum Future of Jobs ranks AI and Machine Learning Specialists among jobs growing fastest in percentage terms through 2030. That is not a U.S. SOC and not a salary.

What You Need to Hire an AI Engineer

The mid-level bar is 4+ years of production software, not a vendor certificate. Stripe adds backend debugging, LLM tools beyond basic prompting, two of Ruby, Node.js, Python, and Next.js, and AWS or GCP.

Anthropic US Enterprise Tech asks 4+ years as a forward deployed engineer, product engineer, software engineer, TPM, or technical founder. Production LLMs (prompting, agents, evals, MCP), Python or TypeScript, and three days in office are on the same req.

NVIDIA Applied AI wants 5+ years building ML or AI systems, plus 2+ years owning an agent or LLM workflow through production, with EE or silicon on this req. That bar does not belong on a mid-level commercial template.

Must-have:

• 4+ years shipping production systems (Stripe and Anthropic US). Raise the years if the seat is Staff or GTM 7+.
• Backend debugging across services and data-flow.
• LLM tools, agents, or workflow automation beyond basic prompting.
• Production Python (or two of Ruby, Node.js, Python, Next.js on a Stripe-shaped req).
• Deploy and monitor on AWS or GCP.
• Written communication a non-engineer can use.

Nice-to-have:

• PhD, or training models from scratch (the machine learning engineer neighbor).
• Domain depth: payments, VLSI, GTM analytics.
• A specific agent framework this team already uses.
• Azure AI Engineer or other vendor certificates.
• Bachelor's in computer science or a related field. Common on U.S. postings, not a law.

No U.S. license exists for this title.

Office-assigned Stripe staff spend at least 50% of time in-office. Anthropic US is three days in office. NVIDIA Applied AI as of September 2026 was remote California.

A Job Description You Can Paste

Company intro: [Company] is a [product / platform] that customers use in production. [Company] hires AI engineers to ship reliable systems on foundation models, not to train those models.

Overview: You will own production AI systems for [team / product]. You build retrieval, agents, evals, and the tooling around them. You ship code, watch cost and latency, and work with [City / remote] teammates who are not all engineers.

Responsibilities:

• Turn a product or customer workflow into an LLM system with retrieval, tools, agents, and evals.
• Ship production code on a daily cadence, not a demo.
• Debug backend services and data-flow when the model path fails.
• Deploy and monitor on [AWS / GCP / employer cloud].
• Measure quality, cost, and latency; change the system when a better model appears.
• Write internal tools that non-engineers can extend.
• Partner with [solutions / product / platform] on [customer or product area].

Qualifications:

Must-have:

• [4+] years shipping production systems.
• Backend debugging across services and data-flow.
• AI agents, LLM tools, or workflow automation beyond basic prompt engineering.
• At least two of [Python / TypeScript / Ruby / Node.js / Next.js].
• Deploy and monitor experience on [AWS / GCP].
• Written and verbal communication with non-engineers.

Nice-to-have:

• Domain depth in [payments / data / customer workflows].
• A specific agent or eval framework this team already uses.
• Vendor AI certification.
• Prior solutions, GTM, or customer-facing product engineering.

Hours and benefits: [schedule], location [City / remote], posted pay [salary range], package [benefits].

How to apply: [how to apply]

Stripe AI Engineer (Filled Example)

Company intro: Stripe is a financial infrastructure platform for businesses. Stripe's mission is to increase the GDP of the internet.

Overview: You sit with Solutions Architecture in Toronto, Atlanta, or Chicago. You build production tooling, agents, and workflow automation so solutions architects move faster with strategic customers. Success is SA productivity, not a demo.

Responsibilities:

• Build production tooling, agents, and workflow automation for Solutions Architecture.
• Ship code daily and debug backend data-flow across services.
• Use LLM tools beyond basic prompting.
• Deploy and monitor on AWS or GCP.
• Write internal tools non-engineers can extend.
• Support strategic-customer workflows with reusable assets.

Qualifications:

Must-have:

• 4+ years shipping production systems.
• Backend debugging across services and data-flow.
• AI agents, LLM tools, or workflow automation beyond basic prompt engineering.
• At least two of Ruby, Node.js, Python, and Next.js.
• AWS or GCP, including deploy and monitor.
• Written and verbal communication; comfort with ambiguity.

Nice-to-have:

• Systems non-engineers can extend.
• Solutions, sales, or GTM engineering, or customer-facing product engineering.
• Stripe products, APIs, or payments.
• Salesforce or Gong.
• Consulting or professional services.

Hours and benefits: Full-time in Toronto, Atlanta, or Chicago. Office-assigned staff spend at least 50% of time in-office, with posted US base $126,600–$189,800 a year as of September 2026. The live req lists equity, company bonus or commissions, 401(k), medical, dental, vision, and wellness stipends.

How to apply: Join us.

Titles Hiring Managers Mix Up

• Machine learning engineer: trains, serves, and monitors models. You build products on foundation models you did not train.
• Forward deployed engineer: customer-facing twin with more travel.
• Prompt engineer: prompting-only slice. Stripe's must-have is work beyond basic prompt engineering.
• MLOps engineer: CI/CD, infra, and monitoring of models already built.
• Research scientist / research engineer: unpublished problems, papers, model advancement.
• Data scientist: questions and metrics. You lead with systems and reliability.
• Software engineer: generic SWE. This role ships AI features; it is not a Copilot user.
• AI solutions developer: Stripe neighbor. Posted US base $147,200–$220,800.
• LLM / generative / agentic AI engineer: narrower or overlay titles for this same applied stack, not a second occupation.