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

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.

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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How much do python llm jobs pay per hour?

As of Sep 9, 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

Agentic AI Engineer (Agent SDK & Developer Enablement)

Oaks, PA • On-site

TekShapers
Software Development • 201 - 500 employees
Learn more about TekShapersexternal

Other

Posted 22 days ago

Job description

Agentic AI Engineer – Agent SDK & Developer Enablement

Location: Oaks, PA
Long-Term Contract
Experience: 10+ Years
Work Model: Hybrid – Onsite from Day 1

We are seeking an Agentic AI Engineer to design and build an internal Agent SDK and developer platform that enables engineering teams to rapidly build, test, deploy, and monitor production-grade AI agents.

Key Responsibilities

  • Design and develop multi-language Agent SDKs with model integration, tracing, identity, guardrails, memory, and retrieval.
  • Own SDK/API design, versioning, backward compatibility, packaging, and releases.
  • Build interfaces for agent memory, session state, and RAG/retrieval.
  • Develop project scaffolding/templates with pre-configured SDK, CI/CD, evaluation, containers, and deployment.
  • Build automated LLM/Agent evaluation and quality gates within CI/CD.
  • Enable production patterns including tool/function calling, structured output, streaming, retries, and provider fallbacks.

Required Skills

  • 3+ years hands-on Agentic AI/LLM application development using LangChain, LangGraph, OpenAI Agents SDK, Microsoft Agent Framework, or equivalent.
  • 6+ years software engineering with strong experience in C#, Python, Java, and/or TypeScript/JavaScript.
  • 3+ years building SDKs/libraries consumed by other engineering teams, including API design, versioning, and package management.
  • Experience with LLM evaluation, RAG, agent memory, vector/search backends, and production LLM patterns.
  • Strong CI/CD experience with GitHub Actions, Azure DevOps, or equivalent.
  • Experience with Docker, Kubernetes, cloud platforms, and OpenTelemetry.
  • Daily experience with AI development tools such as GitHub Copilot, Claude Code, or Cursor.
  • Strong developer experience mindset with proven ability to build reusable tooling, templates, and developer platforms.

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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