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How to Hire an AI Engineer in Austin (2026)

July 27, 2026

How to Hire an AI Engineer in Austin (2026)

Hiring an ai engineer in Austin? Across 41 live ai engineer postings in Austin, the market pays a $175K median salary (typically $160K–$215K). Recruiting from Scratch is the contingency technical recruiting firm for these hires — a 29-day average time to hire, 300+ placements, and a 2M+ candidate network.

What an ai engineer does

An ai engineer builds AI-powered product features — LLM applications, retrieval, agents, and the systems around them. Hiring one in Austin means competing with the companies below.

What the role requires (from 41 live Austin postings)

What employers actually screen for, aggregated across 41 active ai engineer postings in Austin:

  • Experience: typically 5+ years of experience.
  • Languages: Python, TypeScript, Go, JavaScript, Ruby.
  • Frameworks: React, Next.js, Fastapi, Node.js, Django.
  • Most-requested skills: Python, TypeScript, AWS, OpenAI, GCP, Kubernetes, Go, React.
  • Pay: a $175K median salary (typically $160K–$215K), base — equity typically on top.

What AI engineers cost in Austin

PercentileBase salary
25th$160K
Median$175K
75th$215K

Based on 19 ai engineer postings in Austin that disclose pay. Base only — equity is typically on top.

Austin pays about 8% below the US median for this role ($190K).

What we're seeing in the market right now

  • Concentration: the ten companies below account for 37% of open ai engineer roles in Austin — you are mostly competing with them.

Companies hiring AI engineers in Austin

The companies with the most live ai engineer openings in Austin, with what each pays and screens for (medians shown only where at least 3 postings disclose pay):

CompanyOpen ai engineer rolesMedian pay (disclosed)Top skills
Apple2Python
webAI2PyTorch, TensorFlow, Data Pipelines
Light & Wonder2TypeScript, React, Snowflake
Verisoul2Python, TypeScript, GCP
SecurityScorecard2TypeScript, Kubernetes, Docker
Homeward1Python, Django, FastAPI
Linkt AI1Python, TypeScript
Terex Corporation1
Sonarsource1Python, JavaScript, Salesforce
Amat1Python, SQL, Feature Engineering

Who's hiring, by company stage

Where the ai engineer demand sits across funding stages, across the 36 companies with the most live openings in Austin:

StageCompanies hiringOpen rolesMedian pay (disclosed)Examples
Seed11Humata
Series A57webAI, Verisoul, Foundation (Remote)
Series B22Homeward, Level
Series C11Amat
Series D+45SecurityScorecard, Seekr, Currencycloud
Public67Apple, Terex Corporation, Expedia

A further 17 of those companies have no funding stage on file and are not shown above.

How to run this search well

  • Ask what they shipped to users, not which models they've read about — applied LLM work is where the signal is.
  • Test evaluation thinking. How they measure quality and prevent regressions matters more than prompt craft.
  • Expect competitive processes. AI-engineer candidates typically hold multiple offers; compress your loop accordingly.

How Recruiting from Scratch hires AI engineers

Recruiting from Scratch is a contingency technical recruiting firm — no retainer and no upfront cost, so you pay only when you make a hire. The process: align on the role and must-haves → a curated shortlist of 3–5 genuinely qualified AI engineers (not resume volume) → a 29-day average time to hire versus the 49-day industry average → a 90-day replacement guarantee. Backed by 300+ placements, a 2M+ candidate network, and named hires at companies like Decagon and Mercor.

FAQ

What does an ai engineer do?

An ai engineer builds AI-powered product features — LLM applications, retrieval, agents, and the systems around them.

What salary does an ai engineer in Austin command in 2026?

Across 41 live postings in Austin, a $175K median salary (typically $160K–$215K) — base only; equity is typically on top. Most postings expect 5+ years of experience.

What should you look for when hiring an ai engineer?

Depth in the skills these postings require (Python, TypeScript, AWS, OpenAI, GCP, Kubernetes, Go, React), plus applied LLM/ML experience paired with strong software engineering. Recruiting from Scratch sends a shortlist of 3–5 genuinely qualified candidates, not resume volume.

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