Backend Engineer → LLM Engineer
Build production LLM applications
Backend engineers have the systems thinking needed for LLM engineering. This path teaches prompt engineering, RAG systems, agent architectures, and deploying LLM apps to production.
TARGET ROLE
LLM Engineer, AI Backend Engineer
SALARY RANGE
$155,000–$230,000
DIFFICULTY
Intermediate
WHAT'S INCLUDED
Tracks in This Path
This path combines 2 curated learning tracks, sequenced to build on each other.
LEARNING OUTCOMES
What You'll Be Able To Do
By the end of this path, you'll have concrete, job-ready skills.
Master prompt engineering and few-shot learning
Build Retrieval-Augmented Generation (RAG) systems
Design and deploy AI agents with tool calling
Fine-tune LLMs for domain-specific tasks
Implement caching, error handling, and fallbacks for LLM calls
Ship a production LLM application to production
FAQ
Common Questions
Do I need to understand transformer internals?+
What's the hardest part of LLM engineering?+
How quickly can I learn this?+
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Last updated: 2026-03-07