Gen AI Python Engineer – Onsite Banking, LLM/ML

Pyramid Consulting, Inc

Newark (DE)

On-site

USD 74,000 - 105,000

Full time

3 days ago
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Benefits offered by this job

Health insurance (medical, dental, and
401(k) plan
Paid sick leave

Job summary

Pyramid Consulting, Inc. is seeking a talented Python Gen AI Developer for an onsite 24-month contract in Pennington, NJ / Newark, DE. The role focuses on designing, developing, and deploying Generative AI solutions using on-premises models.

You will work with LLMs, prompt engineering, and related ML technologies to deliver impactful GenAI capabilities. The ideal candidate has 3+ years of GenAI and AI/ML experience, strong Python skills, and familiarity with LangChain, LangGraph, and Streamlit.

Qualifications

  • Must have skills: Python, Artificial Intelligence, Machine Learning, LLM.
  • AIML Engineer with at least 3 years on AI & GenAI experience.
  • Strong programming in Python with LangChain/LangGraph/Streamlit and data science expertise.
  • Knowledge of natural language processing for text generation.
  • Experience with vector databases.

Responsibilities

  • Design, develop and deploy Generative AI solutions using on-premises models and infrastructure to create new content, insights.
  • Leverage LLMs, prompt engineering, ChatBots and machine learning technologies.
  • Work closely with cross functional team to build GenAI solutions.

Skills

Python
Artificial Intelligence
Machine Learning
LLM
Data preprocessing

Tools

LangChain
LangGraph
Streamlit

Job description

Pyramid Consulting, Inc. is seeking a talented Python Gen AI Developer for an onsite 24-month contract in Pennington, NJ / Newark, DE. The role focuses on designing, developing, and deploying Generative AI solutions using on-premises models.

You will work with LLMs, prompt engineering, and related ML technologies to deliver impactful GenAI capabilities. The ideal candidate has 3+ years of GenAI and AI/ML experience, strong Python skills, and familiarity with LangChain, LangGraph, and Streamlit.

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