LLM Application Engineer

Emonics LLC; Phoenix (AZ); On-site; USD 110,000 - 180,000; Full time

Job summary

Emonics LLC is seeking a skilled AI/ML Engineer to design, develop, and deploy applications powered by Large Language Models. You will build and optimize Retrieval-Augmented Generation pipelines and integrate LLMs into production systems.

The role involves developing AI agents, chatbots, copilots, and intelligent automation, plus engineering prompts and tool workflows. Strong Python skills and ML/NLP knowledge are essential.

Qualifications

• Bachelor’s degree in Computer Science, AI, ML, Data Science, IT or related field.
• Strong coding in a variety of languages and excellent technical communication skills.
• Strong programming skills in Python.
• Knowledge of Machine Learning, Deep Learning, NLP, and Generative AI.

Responsibilities

• Design, develop, and deploy applications powered by LLMs.
• Build and optimize RAG pipelines using vector databases and embedding models.
• Integrate LLMs such as GPT, Claude, Gemini, Llama into production applications.
• Develop AI agents, chatbots, copilots, and intelligent automation solutions.
• Engineer prompts and implement structured output, function calling, and tool-use workflows.
• Fine-tune and evaluate LLMs for specific business use cases and improve accuracy.

Skills

Python programming

Technical communication

ML / NLP knowledge

Generative AI awareness

Education

Bachelor’s degree

Tools

Python

LangChain/LangGraph

Vector databases

APIs

Cloud AI platforms

Job description

• Design, develop, and deploy applications powered by Large Language Models (LLMs).
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
• Integrate LLMs such as GPT, Claude, Gemini, Llama, and other foundation models into production applications.
• Develop AI agents, chatbots, copilots, and intelligent automation solutions.
• Engineer effective prompts and implement structured output, function calling, and tool-use workflows.
• Fine-tune and evaluate LLMs for specific business use cases and improve accuracy, relevance, and reliability.
• Work with Python, APIs, LangChain/LangGraph, vector databases, and cloud AI platforms.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a related field.
• Strong coding in a variety of languages and technical communication skills
• Strong programming skills in Python.
• Knowledge of Machine Learning, Deep Learning, NLP, and Generative AI.