SR Principal Software Engineer - LLM Engineering
LLM Engineer
59 open positions across the agentic economy.
An LLM Engineer builds production systems on top of large language models: fine-tuning, inference optimization, evaluation harnesses, and serving infrastructure that meets latency and cost SLAs. Unlike Prompt Engineers, LLM Engineers own the runtime stack: tokenizer choices, KV-cache strategies, batched inference on GPU clusters, and the eval pipelines that catch regressions before they ship. The role is most common at AI-native companies (Anthropic, OpenAI, Cohere) and at infrastructure providers (Together, Fireworks, Modal). Strong candidates have a mix of distributed-systems and ML-research experience.
As of August 2026, AgenticCareers tracks 59 open LLM Engineer positions across 22 companies. The median advertised salary is $197K–$225K per year (based on 10 listings with disclosed pay). 14% of roles are remote. The most active employers are NVIDIA, JPMorganChase, Capital One.
Full LLM Engineer salary dataLLM Engineer
LLM
LLM · Generative AI · Machine Learning
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases. The ideal candidate has strong experience with a modern AI/ML stack, including a profound Pyth
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM Engineer
LLM · Generative AI
LLM Engineer
AI Agent · LLM · Generative AI
An LLM Engineer builds production systems on top of large language models: fine-tuning, inference optimization, evaluation harnesses, and serving infrastructure that meets latency and cost SLAs. Unlike Prompt Engineers, LLM Engineers own the runtime stack: tokenizer choices, KV-cache strategies, batched inference on GPU clusters, and the eval pipelines that catch regressions before they ship. The role is most common at AI-native companies (Anthropic, OpenAI, Cohere) and at infrastructure providers (Together, Fireworks, Modal). Strong candidates have a mix of distributed-systems and ML-research experience.
As of August 2026, AgenticCareers tracks 59 open LLM Engineer positions across 22 companies, updated daily.
The median advertised LLM Engineer salary is $197K–$225K per year, based on 10 listings with disclosed pay.
14% of the LLM Engineer roles currently tracked on AgenticCareers are remote.
The most active employers hiring LLM Engineers right now are NVIDIA, JPMorganChase, Capital One.
RAG vs. Fine-Tuning: A Decision Framework for 2026
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What Is an AI Evaluation Engineer? The 2026 Career Guide
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What Is an LLM Engineer? A 2026 Guide
LLM Engineer, ML Engineer, and AI Engineer get used interchangeably, but they are different jobs with different pay. Here's a clear 2026 breakdown with responsibilities, skills, and salary ranges ($170K-$420K).
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