LLM Engineer / LLM Application Engineer

About the Community

We’re building one of the largest and most dynamic Artificial Intelligence (AI) Talent Communities — a space where world-class engineers, researchers, and innovators collaborate, learn, and co-create the future of AI.
If you’re passionate about AI, machine learning, large language models, and the next generation of intelligent systems — this is your place to grow, connect, and shape what’s coming next.

Who We’re Looking For

We’re inviting AI professionals, researchers, and builders to join our community across the following key role:

LLM Engineer / LLM Application Engineer

Overview

We are looking for a Large Language Model (LLM) Engineer to design, fine-tune, and optimize cutting-edge LLM-based systems. You’ll work on integrating models into applications that deliver real-world AI capabilities like summarization, conversation, and question answering.

Key Responsibilities

• Fine-tune, evaluate, and deploy LLMs such as GPT, LLaMA, or Claude.
• Build and integrate LLM-driven applications through APIs and custom workflows.
• Develop prompt engineering strategies and context management systems.
• Collaborate on pipelines for optimization, performance tuning, and latency reduction.
• Ensure model outputs align with accuracy, safety, and ethical guidelines.

Required Skills

• Experience with LLM frameworks (OpenAI APIs, Hugging Face Transformers, LangChain, etc.).
• Strong programming experience in Python and familiarity with AI model serving.
• Understanding of natural language processing (NLP) techniques.
• Hands-on experience with fine-tuning, embeddings, and vector databases.
• Passion for exploring new applications of large language models.

Ideal Profile

An innovative engineer excited by the potential of large language models and able to bridge research and product environments seamlessly.