GenAI & Agentic AI Engineer (Python, LLM)

Machine Learning Technologies, LLC; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a strong AI Software Developer with 3–5 years of hands‑on Python experience to design, develop, test, and deploy production‑quality AI applications.

The role focuses on Generative AI and Agentic AI solutions, including LLM‑powered workflows and RAG implementations. You will collaborate with product managers, data scientists, ML engineers, and business stakeholders to embed AI across products.

Qualifications

• 3–5 years of recent Python development required.
• A well‑rounded Software Developer, not just Python scripting.
• Strong hands‑on GenAI / LLM experience is important.
• Agentic AI experience highly desirable.
• Experience building production‑quality software solutions.
• Rate justified by candidate experience and complete match.

Responsibilities

• Design, develop, test, and deploy production‑quality software and AI applications.
• Develop GenAI and Agentic AI solutions using Python.
• Design, develop, test, and optimize prompts for Large Language Models.
• Build RAG solutions and integrate AI capabilities into products and workflows.
• Develop AI agents and multi‑agent workflows using tools like Azure AI Foundry or CrewAI.
• Implement Agentic AI design patterns including Tool Use, Reflection, and Planning.
• Ensure AI observability, explainability, and governance within products.

Skills

Python

GenAI/LLM

Agentic AI

Production‑quality software

Cross‑functional collaboration

Prompt engineering

Tools

Azure AI Foundry

CrewAI

Job description

Machine Learning Technologies, LLC is seeking a strong AI Software Developer with 3–5 years of hands‑on Python experience to design, develop, test, and deploy production‑quality AI applications.

The role focuses on Generative AI and Agentic AI solutions, including LLM‑powered workflows and RAG implementations. You will collaborate with product managers, data scientists, ML engineers, and business stakeholders to embed AI across products.