LLM Engineer jobs
LLM Engineers build the systems that put large language models to work: retrieval-augmented generation, fine-tuning and adaptation, inference and serving, and the eval pipelines that keep quality high. It's a software-engineering role centered on LLMs rather than classical ML training — and it's the most common on-ramp into agent engineering.
LLM Engineer · Large Language Model Engineer · Generative AI Engineer · Applied LLM Engineer · GenAI Engineer
RAG & embeddings · Fine-tuning / adaptation · Inference & serving · Python · Evals & quality
What a LLM Engineer does
- •Build retrieval-augmented generation (RAG) systems: chunking, embeddings, retrieval
- •Fine-tune or adapt models and evaluate whether it beats prompting
- •Own inference and serving: latency, throughput, cost, caching
- •Build eval pipelines and quality gates for LLM features
- •Integrate LLMs into products via APIs, SDKs, and tool use
Leveling
- Junior
- Builds LLM features against clear specs (RAG, prompts, integrations).
- Mid
- Owns an LLM system end-to-end: retrieval, serving, evals, cost.
- Senior
- Designs LLM infrastructure and standards; often grows into agent engineering.
Salary by level
Full salary breakdown →US total-cash ranges synthesized from aggregated public job postings and market data as of 2026. Individual offers vary widely by location, company stage, and equity; treat these as directional bands, not guarantees.
Open LLM Engineer roles (0)
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LLM Engineer FAQ
- What is an LLM engineer?
- An LLM engineer builds applications and infrastructure on top of large language models — RAG, fine-tuning/adaptation, inference and serving, and eval pipelines. It's a software-engineering role centered on LLMs rather than training models from scratch.
- What's the difference between an LLM engineer and an AI agent engineer?
- LLM engineering covers the broad set of LLM-powered systems (RAG, serving, fine-tuning). Agent engineering is the subset focused on autonomous, tool-using agents — planning loops, memory, and agent evals. LLM engineering is the most common on-ramp into agent work.
- Is 'generative AI engineer' the same as 'LLM engineer'?
- Largely yes — the titles are used interchangeably for roles building products on generative models. 'Generative AI engineer' sometimes implies broader media (image/audio) work, but for text/LLM products they're effectively the same role.
- How much does an LLM engineer make?
- In the US, total-cash ranges run roughly $125k–$165k (junior), $160k–$210k (mid), and $195k–$270k (senior), with top AI labs paying well above these bands.
Learn more
- What Is an LLM Engineer?
A clear definition of the LLM Engineer role: what they build, core skills, the typical stack, salary ranges, and how it differs from agent and prompt roles.