
Workers AI Engineer
- Salary
- $145k – $195k / year
- Type
- Full-time
- Location
- Austin, TX · Austin (Texas) · Hybrid
- Valid through
- 11/3/2026
Additional details
- Posted
- Posted 1 day ago
- Applications
- 25
- on Ganloss
- Experience
- Mid · 3+ years
- Education
- BS/MS CS, ML, or equivalent experience
- Region
- Texas
- Team
- Cloudflare — AI team
- Company size
- 3000+
- Founded
- 2009
Job description
Cloudflare is hiring a Workers AI Engineer (Full-time) hybrid. This llm engineer role is part of the AI hiring market in Austin (Texas). Inference and fine-tuning on Cloudflare Workers AI — Austin engineering hub. Listed compensation: $145k – $195k / year. Stack: Edge AI, Rust, LLM, Austin.
LLM Engineer profiles are in high demand in Austin: Austin’s tech scene keeps growing with AI product, robotics, and data roles at scale-ups and enterprise R&D labs.…
The team
Cloudflare — AI team
Responsibilities
- Deliver production ML/LLM capabilities with measurable quality bars
- Partner with product and infra on roadmap and reliability
- Document evals, monitoring, and rollout practices
Requirements
- 3+ years shipping ML, LLM, or data systems in production
- Strong Python or TypeScript and clear written communication
- Comfort with responsible AI and operational excellence
Tech stack
Benefits
Hiring process
- 1Recruiter screen
- 2Technical interview
- 3Team conversation
- 4Offer
Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience
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FAQ — Workers AI Engineer
- What is the salary for Workers AI Engineer at Cloudflare?
- Listed range: $145k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
- Where is the Workers AI Engineer role based?
- Austin, TX, Austin (Texas). Work mode: Hybrid.
- How do I apply to Cloudflare?
- Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0015. Process: Recruiter screen → Technical interview → Team conversation → Offer.
- Is Cloudflare hiring other AI roles?
- Cloudflare (Edge & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.
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