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

Mondo

Sr. Dev SecOps Architect

Danboro, PA · On-site

$75 - $90/hr

Use Python, Go, Bash, or similar scripting to automate deployment and security processes. * Support ... Help establish security architecture and governance for AI/LLM-powered applications. * Evaluate ...

Mondo

Sr. Dev SecOps Architect

Danboro, PA · On-site

$75 - $90/hr

Use Python, Go, Bash, or similar scripting to automate deployment and security processes. * Support ... Help establish security architecture and governance for AI/LLM-powered applications. * Evaluate ...

Compunnel

AI Architect

Conshohocken, PA · On-site

$62 - $81.75/hr

... Python and AI/ML frameworks. • Hands-on experience with LLM orchestration frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar. • Experience working with vector databases ...

Globo Language Solutions

AI/ML Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

Python (advanced proficiency) * SQL (advanced proficiency) * LLM Integration (AWS Bedrock, Anthropic Claude, or OpenAI API) * dbt (data transformation and testing) * Snowflake (or similar cloud data ...

SEI Investments

Data Scientist II

Oaks, PA · On-site

The ideal candidate has expertisein Python, Generative AI, Retrieval-Augmented Generation (RAG), AI agents, LLM orchestration, and modern AI engineering practices. Theypossessthe rare combination of ...

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

Design multiagent and toolaugmented LLM solutions to automate complex, multistep processes ... of handson Python experience; experience with distributed data processing is a plus. * Strong ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

Write clean, maintainable SQL and Python code to support data transformation and pipeline ... AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional ...

United States Cold Storage Inc

Data Engineer I

Camden, NJ · On-site

$115K - $138K/yr

Write clean, maintainable SQL and Python code to support data transformation and pipeline ... AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Write clean, maintainable SQL and Python code to support data transformation and pipeline ... AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional ...

USCS

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Write clean, maintainable SQL and Python code to support data transformation and pipeline ... AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional ...

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

Write clean, maintainable SQL and Python code to support data transformation and pipeline ... AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional ...

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All JobsPython Llm JobsPython Llm Jobs in Huntingdon Valley, PA

Python Llm information

See Huntingdon Valley, PA salary details

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How much do python llm jobs pay per hour?

As of Sep 8, 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

Senior Data and AI Engineer (Insurance Domain)

Philadelphia, PA • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees
Learn more about Accord Technologies Inc.external

$115K - $138K/yr

Contractor

Re-posted 26 days ago

Job description

Senior Data and AI Engineer (Insurance Domain)
Location:  Philadelphia, PA
Position type: Onsite role (need NJ, PA based candidates who can join immediately)
Tax type: W2 contract
Candidate should be available to start by next week.

Job Description:
The role owns the full technical stack from the architecture slide: connectors and ingestion framework, OneLake Medallion staging, GraphDB triple store, Vector Index, Agentic RAG orchestrator, LLM gateway, guardrails, and the consumption UI with conversational chat, SPARQL trace explainability, and graph explorer.

Knowledge Graph & Semantic Technologies (Must-Have)

•            3+ years hands-on experience with graph databases (GraphDB, Neo4j, Stardog)in a production or advanced PoC context

•            Working proficiency with semantic web standards

•            Experience loading, validating, and querying ontologies in a triple store environment

•            Familiarity with ontology authoring tools (Protégé, Metaphactory) sufficient to collaborate with the Data Consultant on model iterations

AI / ML Engineering & LLM Integration (Must-Have)

•            Demonstrated experience building RAG (Retrieval-Augmented Generation) pipelines, ideally with agentic orchestration patterns

•            Hands-on experience with vector databases (Azure AI Search, pgvector, Pinecone, Weaviate, or Qdrant) for embedding and retrieval

•            Experience integrating LLM APIs (Anthropic Claude, OpenAI GPT, or Azure OpenAI) with prompt engineering, guardrails, and citation enforcement

•            Familiarity with NL-to-SPARQL or NL-to-SQL generation techniques, including few-shot prompting and schema-grounding approaches

•            Understanding of AI safety guardrails: prompt injection defense, output sandboxing, and confidence scoring

Delivery & Collaboration (Must-Have)

•            Comfortable operating in an accelerated 8-week delivery timeline with weekly milestone gates and hard dependencies

•            Ability to work closely with a Data Modeller/Ontologist to translate conceptual models into working technical implementations

•            Experience in financial services or insurance data environments is preferred but not required, provided strong technical depth in the above areas

Data Engineering & Microsoft Fabric (Good to-Have)

•            Strong Python engineering skills with experience building data pipelines, ETL/ELT processes, and metadata ingestion frameworks

•            Experience with Microsoft Fabric ecosystem: OneLake, Lakehouse, Notebooks, Data Factory / pipelines, and Medallion architecture (Bronze/Silver/Gold)

•            Familiarity with JDBC/ODBC connectors, REST API integration, and file parsing (Excel, CSV, JSON) for metadata extraction

•            Experience with Trino, Databricks SQL, or equivalent federated query engines