Skip to main content

Generative Ai Engineer

Posted yesterday

saxon globalPennington (NJ)

SENIORITY

Senior

Apply (opens in a new tab)

About the role

GenAI Engineer Newark, DE or Pennington, NJ3 days onsite/2 remote 12+ month contract to hireIV Process: 2 rounds; Final round is onsite Only w2Requirements:3+ years of experience in AI and Generative AIProgramming experience in Python, including LangChain, LangGraph, and Streamlit. Expertise in data science and experience with AI frameworks. Knowledge of natural language processing for text generation. Skills in data preprocessing, feature engineering, and vector databases.
Position Summary: We are looking for a Generative AI Engineer to design, build, and deploy GenAI solutions on on-premises models and infrastructure. You'll split your time between GenAI work and data engineering, and you'll work with a cross-functional team on projects in data extraction, chatbots, fraud detection and prevention, and classification models. This role is for someone who has deployed, monitored, and tuned models in live production environments and wants to keep learning.
What You'll Do:
  • Design, develop, and deploy GenAI solutions using on-prem LLMs and infrastructure
  • Build chatbots and data extraction solutions using LLMs, prompt engineering, and NLPSupport traditional AI/ML work, including fraud detection, fraud prevention, and classification models
  • Monitor model performance after go-live, then tune and optimize models in production
  • Support live production environments
  • Analyze large datasets in a Hadoop environment using SQLSupport data processing and data engineering work alongside GenAI projects
  • Work with cross-functional teams to deliver GenAI solutions from design through production
Required Qualifications:
  • 4+ years of combined experience in AI/ML, Python, and data engineering 2+ years of hands-on GenAI experience in production, including deploying, monitoring, and tuning models
  • Strong Python programming skills
  • Hands-on experience with LangChain, LangGraph, and Streamlit
  • Experience with LLMs, prompt engineering, and chatbot development
  • Knowledge of natural language processing (NLP) for text generation
  • Skilled in data preprocessing, feature engineering, and vector databasesSQL skills for data analysis
  • Background in data science and AI frameworks
  • Eager to learn and grow with new technologies
Preferred Qualifications:
  • Experience deploying models on-premises
  • Experience moving from traditional ML into GenAI/LLM work
  • Hadoop experienceETL experience

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this