LLM Engineer — Matching

Job description

Ganloss is hiring a LLM Engineer — Matching (Full-time) remote (US). This llm engineer role is part of the AI hiring market in Remote (US) (United States). Improve talent–job matching using shipped projects and structured profiles. Listed compensation: $130k – $175k / year. Stack: LLM, RAG, Python, Matching.

LLM Engineer profiles are in high demand in Remote (US): Fully remote US roles: LLM Engineer, MLOps, Data Scientist, and AI Product Manager. Apply from any state.…

The team

Ganloss — AI team

Responsibilities

• Ship production AI features with measurable quality and latency targets
• Partner with product and design on roadmap and customer feedback
• Improve observability, evals, and safe rollout practices

Requirements

• Strong Python or TypeScript fundamentals and 3+ years relevant experience
• Hands-on LLM, ML, or data platform work in production
• Clear written communication and async collaboration

Tech stack

Benefits

Hiring process

1. 1Recruiter screen (30 min)
2. 2Technical interview (60 min)
3. 3Team fit
4. 4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

FAQ — LLM Engineer — Matching

What is the salary for LLM Engineer — Matching at Ganloss?

Listed range: $130k – $175k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the LLM Engineer — Matching role based?

US remote role. The team may be headquartered in Remote · US.

How do I apply to Ganloss?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0043. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Ganloss hiring other AI roles?

Ganloss (HR tech & AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

Your profile is sent directly to Ganloss's hiring team.