Senior GenAI Engineer

engineeringjobs.net, Inc.; Secaucus (NJ); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Performance Bonus

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

AD&D Insurance

Short-Term Disability

Long-Term Disability

Wellbeing Allowance

Educational Assistance

Mental Health Coaching

Health Savings Account

Flexible Spending Accounts

401(k) Retirement Plan

Vacation

Sick Time

Personal Days

Job summary

engineeringjobs.net, Inc. is seeking an experienced AI/ML Engineer to design, fine-tune, deploy and scale enterprise Generative AI systems across platforms such as ServiceNow, GitHub, Tableau, and SharePoint.

You will lead AI infrastructure and productization, accelerating automation and workflows. You will collaborate with business leaders, train teams, and promote responsible AI adoption, translating complex technical strategies into actionable plans.

Qualifications

• Bachelor's or master's degree in computer science, machine learning, data science, or a related field.
• At least three years of applied AI/ML experience.
• Expertise in LLMs and model development, cloud and MLOps infrastructure, software engineering, data pipelines and databases.
• Ability to communicate technical strategies to business leaders.

Responsibilities

• Design, fine-tune, deploy, and scale enterprise Generative AI systems.
• Lead AI infrastructure and productization, improve internal automation and workflows.
• Promote responsible AI adoption through collaboration, training, and stakeholder engagement.

Skills

Generative AI

Large Language Models

Natural Language Processing

Transformers

Model Fine-Tuning

MLOps

Cloud AI Infrastructure

Python

API & Microservices

Education

Bachelor's degree in CS/ML/Data Science or related field

Master's degree in CS/ML or related field

Tools

Docker

Kubernetes

Hugging Face

PyTorch

TensorFlow

Job description

Design, fine-tune, deploy, and scale enterprise Generative AI systems, integrating them with platforms such as ServiceNow, GitHub, Tableau, and SharePoint. Lead AI infrastructure and productization, improve internal automation and workflows, and promote responsible AI adoption through collaboration, training, and stakeholder engagement.

Requirements

Requires a bachelor's or master's degree in computer science, machine learning, data science, or a related field, plus at least three years of applied AI/ML experience. Candidates should have expertise in LLMs and model development, cloud and MLOps infrastructure, software engineering, data pipelines and databases, and communicating technical strategies to business leaders.

Key Skills

Generative AI, Large Language Models, Natural Language Processing, Transformers, Model Fine-Tuning, Hugging Face, PyTorch, TensorFlow, MLOps, LLMOps, Cloud AI Infrastructure, Docker, Kubernetes, Python, JavaScript, API and Microservices Development

Benefits

Performance Bonus, Medical Insurance, Dental Insurance, Vision Insurance, Life and AD&D Insurance, Short-Term Disability, Long-Term Disability, Fertility and Family-Forming Assistance, Wellbeing Allowance, Educational Assistance, Mental Health Coaching and Therapy, Health Savings Account, Healthcare and Dependent Care Flexible Spending Accounts, 401(k) Retirement Plan, Vacation, Sick Time, Personal Days