Lead AI Engineer: LLMs, RAG & Cloud Orchestration (Hybrid)

Yoh, A Day & Zimmermann Company; New York (NY); Hybrid; USD 126,000 - 180,000; Full time

Benefits offered by this job

Medical, Prescription, Dental & Vision

Health Savings Account (HSA)

Life & Disability Insurance

MetLife Voluntary Benefits

Employee Assistance Program (EAP)

401K Retirement Savings Plan

Direct Deposit & weekly epayroll

Referral Bonus Programs

Certification and training

Job summary

Yoh, A Day & Zimmermann Company in New York is seeking a Lead AI Engineer responsible for designing, developing, and deploying AI solutions for enterprise transformation, with focus on LLMs, RAG, and orchestration.

The role requires hands-on building scalable, secure AI platforms, collaboration with data scientists and software engineers, and delivering production-grade systems in a hybrid onsite schedule.

Qualifications

• Extensive experience in machine learning engineering and AI system development.
• Strong proficiency in Python and R.
• Deep knowledge of large language models and RAG pipeline architectures.
• Expertise in distributed systems, cloud infrastructure, and model orchestration frameworks.
• Ability to implement secure and compliant API solutions.
• Experience collaborating with cross-functional teams, including data scientists, software engineers, and product managers.

Responsibilities

• Spearhead the design, development, and deployment of advanced AI solutions that support enterprise transformation.
• Architect scalable, secure, and innovative AI systems using LLMs, RAG pipeline architectures, and model orchestration frameworks.

Skills

Python

R

Large Language Models

RAG pipeline architectures

Distributed systems

Cloud infrastructure

Model orchestration frameworks

Secure API development

Cross-functional collaboration

Machine learning engineering

Education

Bachelor's or Master's degree in Computer Science or Data Science

Job description

Yoh, A Day & Zimmermann Company in New York is seeking a Lead AI Engineer responsible for designing, developing, and deploying AI solutions for enterprise transformation, with focus on LLMs, RAG, and orchestration.

The role requires hands-on building scalable, secure AI platforms, collaboration with data scientists and software engineers, and delivering production-grade systems in a hybrid onsite schedule.