Lead AI Engineer w/ RAG and Python

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

This role is a Lead AI Engineering position responsible for designing, developing, and deploying AI solutions aimed at enterprise transformation. The work centers on Large Language Models (LLMs), retrieval-augmented generation (RAG) pipelines, and model orchestration frameworks, delivered through scalable and secure system architecture.

Key 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.

Required 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.

Technology Focus

The role emphasizes hands-on work across the following technologies and areas: Python, R, Large Language Models (LLMs), retrieval-augmented generation (RAG), model orchestration frameworks, distributed systems, and cloud infrastructure.

Nice to Have Skills

• Familiarity with enterprise security, governance, and compliance standards.
• Experience evaluating and integrating emerging AI technologies.
• Mentoring or leadership experience in AI/ML teams.

Education

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Location and Employment Details

• Location: New York, NY (hybrid)
• Onsite schedule: Hybrid 3x a week onsite in Holmdel NJ or NY
• Employment type: Permanent FTE, direct hire
• Minimum experience: 5 years

Compensation

• Salary range: USD 126,000 - 180,000 per year
• Pay rate details: $120-$180k base DOE

Benefits

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities