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

Mondo

Applied AI Engineer

Conshohocken, PA · On-site

$75 - $80/hr

... LLM applications and AI agents. * Proven experience with RAG architectures, agent frameworks, prompt orchestration, and token optimization. * Strong Python and SQL skills with demonstrated ability to ...

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All JobsPython Llm JobsPython Llm Jobs in Huntingdon Valley, PA

Python Llm information

See Huntingdon Valley, PA salary details

$12

$57

$84

How much do python llm jobs pay per hour?

As of Aug 6, 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?

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

Urgent to Fill- GenAI Solutions Architect -Mount Laurel, NJ -Onsite

Ekcel Technologies Inc

Mount Laurel, NJ • On-site

$62.50 - $82.25/hr

Contractor

Re-posted 27 days ago

Job description

Job Description: 

• Design end-to-end AI/ML architecture including data ingestion, model training, inference, and monitoring systems

• Define technical standards, best practices, and governance frameworks for AI/ML implementations

• Architect scalable GenAI solutions including LLM deployments, RAG systems, and multimodal AI applications

• Lead architectural reviews and provide technical guidance to development teams

• Design integration patterns between AI services and existing enterprise systems

• Evaluate and recommend AI/ML technologies, platforms, and vendor solutions

• Create technical roadmaps aligned with business objectives and AI strategy

• Assess technical feasibility of AI use cases and provide effort estimations

• 8+ years of experience in software architecture with 3+ years focused on AI/ML systems

• Strong experience with cloud platforms (Azure preferred) and distributed systems architecture

• Deep understanding of LLM architectures, transformer models, and generative AI patterns

• Experience with MLOps tools and practices (Azure ML, Docker, Kubernetes)

• Proficiency in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)

• Experience with Azure AI Foundry, LangChain, LangGraph, and Copilot Studio

• Strong technical leadership and mentoring capabilities

• Experience with microservices architecture, API design, and event-driven systems