LLM Engineer / LLM Application Engineer
@ High5

Hybrid
$150,000
Hybrid
Contractor
Posted 23 days ago

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Job Details

Overview

Join High5's largest AI Talent Community and work as an LLM Engineer / LLM Application Engineer. In this role, you will design, fine-tune, and optimize cutting-edge large language model systems and integrate them into applications for 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 using APIs and custom workflows.
  • Develop prompt engineering strategies and context management systems.
  • Collaborate on optimization pipelines, performance tuning, and latency reduction.
  • Ensure model outputs meet accuracy, safety, and ethical guidelines.

Required Skills

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

Ideal Profile

An innovative engineer excited about the potential of large language models, capable of bridging research and product environments seamlessly.

Key skills/competency

LLM, GPT, Python, NLP, API, Fine-tuning, HuggingFace, LangChain, Optimization, Ethical AI

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How to Get Hired at High5

🎯 Tips for Getting Hired

  • Research High5's culture: Study their mission, values, and recent news.
  • Customize your resume: Highlight LLM and API integration skills.
  • Prepare for technical interviews: Practice Python and NLP projects.
  • Network with current employees: Use LinkedIn for insights.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding best practices.
Study LLM framework documentation.
Practice API integration exercises.
Test NLP and fine-tuning implementations.

Behavioral Questions

Discuss a past project challenge.
Explain teamwork in problem solving.
Describe adapting to new technology.
Highlight initiative in continuous learning.

Frequently Asked Questions