AI Engineering Jobs: Live Listings and Hiring Trends

Live Listings

AI engineering jobs hiring right now

AI Pulse tracks 10,872 job postings across all functions. Of those, 27% of engineering postings mention AI as a required or preferred skill. We refresh the dataset weekly.

The listings below are live and AI-skilled. Click through for the full description, salary band, and apply link.

Hiring Trends

Who's hiring AI-skilled engineering pros

The companies hiring most aggressively for AI-skilled engineering roles fall into four buckets:

1. AI labs and foundation model companies. Anthropic, OpenAI, Google DeepMind, Meta AI, and adjacent companies are building out their engineering functions to support enterprise rollouts. They pay top of market and expect candidates to already use AI fluently.
2. AI-native scale-ups. Companies built around AI from day one (Glean, Hex, Writer, Cursor, Perplexity, Cresta, Harvey, Decagon) are scaling their engineering teams. They're often the best comp-to-equity tradeoff for ambitious candidates.
3. Big tech AI orgs. Google Cloud AI, AWS Bedrock, Microsoft AI, Apple AIML are hiring engineering pros to support their AI products. These roles offer stability plus AI exposure inside an established company.
4. Public companies retooling. Stripe, Salesforce, ServiceNow, and others are rebuilding their engineering functions around AI. The roles often pay less than scale-ups but offer scope and platform.

What They're Asking For

Common requirements in AI engineering job descriptions

The most-cited requirements in AI-skilled engineering postings, in order of frequency:

• Working fluency with AI tools relevant to engineering (see the tools page)
• Examples of AI-augmented work shipped in your current or previous role
• Comfort with prompt engineering, even at a beginner level
• Awareness of AI failure modes (hallucination, bias) and how to guard against them
• Bonus: experience with the AI tools the company sells or uses internally

What's notably absent from most engineering postings: ML PhD, Python expertise, deep math. AI roles outside engineering rarely require those.

Pay Bands

What AI engineering jobs are paying

Based on AI Pulse's salary data, AI-skilled engineering roles pay 58% more than non-AI engineering roles. Median total compensation:

• Junior (0-2 yr): $135,200
• Mid (2-5 yr): $208,000
• Senior (5-8 yr): $301,600
• Lead/Manager (8+ yr): $416,000

For the full salary breakdown including geo cuts and top-paying companies, see the salary page.

How To Apply

What gets you to the interview round

For AI-skilled engineering roles, three things move you up the stack:

1. A specific AI workflow you've shipped. One example with metrics beats five vague ones. Lead with this in your application materials.
2. Tool-specific fluency. Name the AI tools you use, what you use them for, and what you'd do differently if you started over.
3. An eval or quality story. Almost no one mentions how they evaluate AI output quality. Bringing it up signals seniority.

For the full transition path including comp at each level, see the career path page.

Common Questions

FAQ

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