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Python Llm Jobs in Huntingdon Valley, PA (NOW HIRING)

Gap International

AI/LLM Engineer

Springfield, PA

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with ...

Gap International

AI/LLM Engineer

Philadelphia, PA · On-site

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with ...

Gap International

AI/LLM Engineer

Springfield, PA · On-site

As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on ... Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with ...

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All JobsPython Llm JobsPython Llm Jobs in Huntingdon Valley, PA

Python Llm information

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$12

$57

$84

How much do python llm jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for python llm in Huntingdon Valley, PA is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $65.34 per hour, depending on experience, location, and employer.

What is a Python LLM job?

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 are popular job titles related to Python Llm jobs in Huntingdon Valley, PA? For Python Llm jobs in Huntingdon Valley, PA, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Huntingdon Valley, PA look for? The top searched job categories for Python Llm jobs in Huntingdon Valley, PA are:
Python Llm jobs near you
On-Premises LLM & Vector Database Implementation Consultant

On-Premises LLM & Vector Database Implementation Consultant

Indotronix International Corporation

Philadelphia, PA • On-site

Full-time

Posted 7 days ago

Job description

On-Premises LLM & Vector Database Implementation Consultant | Philadelphia, Pennsylvania, United States On-Premises LLM & Vector Database Implementation Consultant Location: Philadelphia, PA | Hybrid (3+ days/week onsite) Position Type: Contract | Experience: 5-10 years [About the Role] Join a pioneering team as an On-Premises LLM & Vector Database Implementation Consultant. Drive the end-to-end deployment of state-of-the-art open-source large language models (LLMs) and vector databases in highly secure, enterprise-grade on-premises environments. This is a hands-on, mid-level consulting opportunity to shape cutting-edge AI infrastructure while collaborating with leading technologists and business stakeholders. [Responsibilities] - Deploy, integrate, and optimize open-source LLMs (e.g., Meta Llama 3, Mistral/Mixtral) in private, air-gapped environments - Develop and implement Retrieval-Augmented Generation (RAG) pipelines using open-source vector databases (Qdrant, Chroma, Milvus, pgvector) - Engineer Python-based solutions for LLM inference, prompt design, and system integration - Tune model performance through CPU-based inference, quantization, and metadata management - Ensure strict data privacy and enterprise security, including access controls and audit logging - Deliver clear reference architecture, prototype solutions, and comprehensive documentation - Lead knowledge transfer sessions to upskill internal engineering teams [Required Skills and Experience] - 5-10 years in software development with proven on-premises LLM deployment experience - Advanced Python proficiency for LLM workflows and system integration - Hands-on work with vector databases and RAG pipeline implementation - Expertise in model quantization, CPU inference, and performance optimization - Solid knowledge of enterprise security, access control, and data governance in private environments [Preferred Skills] - Experience with LangChain, LlamaIndex - Familiarity with Rust, Go, or C++ for high-performance backend services - Exposure to Docker, Kubernetes for on-premises deployments - Knowledge of vLLM, llama.cpp, Hugging Face Transformers frameworks - Prior work in regulated, enterprise, or security-focused environments [Benefits] - Work with cutting-edge AI technologies in a secure, enterprise setting - Hybrid work model for enhanced work-life balance - Opportunity for career growth and upskilling in advanced AI and infrastructure engineering - Gain exposure to real-world, high-impact AI applications and top-tier professionals [How to Apply] Ready to make a tangible impact in the AI space? Submit your resume and a brief cover letter outlining your experience with on-prem LLM and vector database deployments. Onsite interviews required. Take the next step in your AI consulting career with us in Philadelphia! ---
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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