LLM Application Engineer

Emonics LLC; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

Emonics LLC in New York seeks a software engineer to design, develop, and deploy applications powered by large language models. You will work with Python, APIs, and cloud AI platforms to create production-ready solutions.

You will build and optimize Retrieval-Augmented Generation pipelines, integrate multiple foundation models, and engineer prompts and tool-use workflows to improve accuracy and reliability. Strong communication and collaboration across teams are essential.

Qualifications

• Bachelor’s degree in Computer Science, AI, ML, Data Science, IT or related field.
• Strong coding skills and technical communication.
• Strong programming in Python.

Responsibilities

• Design, develop, and deploy LLM-powered applications.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings.
• Integrate LLMs such as GPT, Claude, Gemini, Llama into production applications.
• Develop AI agents, chatbots, copilots, and intelligent automation solutions.
• Engineer prompts, function calling, and tool-use workflows.
• Fine-tune and evaluate LLMs for business use cases to improve accuracy and reliability.

Skills

Python

Strong coding

Technical communication

Education

Bachelor’s degree in Computer Science / AI / ML / Data Science / IT or related field

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.