AI/ML Engineer

Emonics LLC; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Emonics LLC in New York is seeking a Generative AI / LLM Application Engineer to design, develop, and deploy production-ready applications powered by Large Language Models. You will collaborate with product and data teams to implement RAG pipelines, AI agents, and tool-calling workflows, integrating LLM APIs into existing platforms and optimizing prompts and performance.

Candidates should have deep Python experience, ML fundamentals, and strong data skills, with a hands-on track record in APIs,

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2+ years of software engineering or AI/ML development experience.

Responsibilities

• Design and develop production-grade applications using LLMs and Generative AI.
• Build RAG (Retrieval-Augmented Generation) pipelines using vector databases and enterprise data.
• Develop AI agents, workflows, and tool-calling applications.
• Integrate LLM APIs and AI services into existing products and platforms.
• Develop prompt engineering strategies and evaluate LLM performance.
• Work with embeddings, vector search, semantic search, and knowledge bases.

Skills

Python programming

ML fundamentals

Statistics & probability

Data preprocessing & EDA

SQL & databases

Algorithms & data structures

Git/GitHub

APIs & software dev practices

Education

Bachelor's or Master's in CS/Engineering/related

Job description

We are looking for a Generative AI / LLM Application Engineer to design, develop, and deploy production-ready applications powered by Large Language Models (LLMs). You will work closely with product, engineering, and data teams to build intelligent solutions using LLMs, RAG, AI agents, and modern machine learning technologies.

Key Responsibilities:

• Design and develop production-grade applications using LLMs and Generative AI.
• Build RAG (Retrieval-Augmented Generation) pipelines using vector databases and enterprise data.
• Develop AI agents, workflows, and tool-calling applications.
• Integrate LLM APIs and AI services into existing products and platforms.
• Develop prompt engineering strategies and evaluate LLM performance.
• Work with embeddings, vector search, semantic search, and knowledge bases.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2+ years of software engineering or AI/ML development experience.

Required Skills

• Python programming.
• Fundamentals of machine learning.
• Statistics and probability.
• Data preprocessing and exploratory data analysis.
• SQL and database fundamentals.
• Understanding of algorithms and data structures.
• Familiarity with Git/GitHub.
• Basic understanding of APIs and software development practices.