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Python Llm Jobs in Swedesboro, NJ (NOW HIRING)

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... Advanced Python proficiency. * 4+ years of professional hands-on experience leveraging large sets ...

Drevol LLC

AWS Cloud Engineer

Malvern, PA · On-site

$54.75 - $73/hr

Develop scalable services and APIs using TypeScript and Python. * Design and maintain microservices ... LLM-powered features, intelligent APIs, and automation workflows.

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All JobsPython Llm JobsPython Llm Jobs in Swedesboro, NJ

Python Llm information

See Swedesboro, NJ salary details

$13

$57

$85

How much do python llm jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python llm in Swedesboro, NJ is $57.86, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What cities near Swedesboro, NJ are hiring for Python Llm jobs?

Cities near Swedesboro, NJ with the most Python Llm job openings:

Python Llm jobs near you
Infographic showing various Python Llm job openings in Swedesboro, NJ as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,344 per year, or $57.9 per hour.

Software Developer/Engineer (Mid Level experience)

TechArmy

Philadelphia, PA • On-site

Full-time

Posted 21 days ago

Job description

Position Type: Contract

Location: Philadelphia | Work Mode: Hybrid, minimum 3 days in the office

Interview Schedule: 1st interview, 1-hour, in-person; 2nd interview, 1-hour, in-person

Consultant Requirements – On-Prem LLM & Vector DB Implementation

Core Experience

Hands-on experience deploying open-source LLMs such as Meta Llama 3 and Mistral / Mixtral in on-prem or private environments

Strong proficiency in Python for LLM inference, prompt engineering, and integration

Experience with CPU-based inference, model quantization, and performance tuning

Vector Databases & RAG

Practical experience with open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector

Proven implementation of Retrieval-Augmented Generation (RAG) pipelines

Experience generating and managing embeddings and metadata filtering

Security & Governance

Understanding of data privacy, air-gapped deployments, and enterprise security requirements

Experience implementing access controls and audit logging

Nice to Have

Experience with LangChain or LlamaIndex

Exposure to Rust, Go, or C++ for high-performance services

Familiarity with Docker and Kubernetes for on-prem deployments

Knowledge of inference frameworks (e.g., vLLM, llama.cpp, Hugging Face Transformers)

Prior work in regulated or enterprise environments

Deliverables

Reference architecture and deployment guidance

Working prototype (LLM + vector DB + RAG)

Documentation and knowledge transfer to internal teams