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Python Llm Jobs in Mount Laurel, NJ (NOW HIRING)

Required : • AI/GenAI- open source/commercial LLMPython • Azure • Databricks Develop • fine‐tune and optimize LLMs • multimodal models • generative AI pipelines for various ...

... LLM frameworks. Hands-on experience with Claude and/or GPT models. * 2+ years of AWS experience (S3, CloudFormation, CloudWatch). Strong Python and FastAPI. SQL expertise. RAG and semantic search ...

Nuuly Senior Software Engineer

Philadelphia, PA · On-site +1

$112K - $148K/yr

Write automation (Python/Bash) that enforces schema and quality gates across the system * Measure ... Hands-on experience designing agent instructions, prompt systems, or LLM-backed workflows

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. • Optimize ... Strong Python, Java, and/or Scala experience will be considered a plus. • Hands-on experience ...

Nuuly Senior Software Engineer

Philadelphia, PA · On-site +1

$112K - $148K/yr

Write automation (Python/Bash) that enforces schema and quality gates across the system * Measure ... Hands-on experience designing agent instructions, prompt systems, or LLM-backed workflows

Faculty Fellow

Bala Cynwyd, PA · On-site

$46K - $62K/yr

... learning, LLM, statistics, computer science, physics, applied mathematics, or related fields ... Strong programming skills (Python preferred); experience with ML frameworks like PyTorch ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. • Optimize ... Strong Python, Java, and/or Scala experience will be considered a plus. • Hands-on experience ...

Faculty Fellow

Bala Cynwyd, PA · On-site

$46K - $62K/yr

... learning, LLM, statistics, computer science, physics, applied mathematics, or related fields ... Strong programming skills (Python preferred); experience with ML frameworks like PyTorch ...

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Python Llm information

See Mount Laurel, NJ salary details

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How much do python llm jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for python llm in Mount Laurel, NJ is $58.05, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.96 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 Mount Laurel, NJ?

For Python Llm jobs in Mount Laurel, NJ, the most frequently searched job titles are:

What job categories do people searching Python Llm jobs in Mount Laurel, NJ look for?

The top searched job categories for Python Llm jobs in Mount Laurel, NJ are:

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

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

Data Engineer - Agentic AI & ML Ops (Co-op)

Campbell's

Camden, NJ • On-site

$115K - $138K/yr

Full-time

Re-posted 21 days ago


Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Operational Support Data Engineer - Agentic AI & ML Ops (Co-op)

  • We are seeking a motivated and curious Data Engineer - Agentic AI & ML Ops to join our Enterprise Data & Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions.
  • You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment.
  • If you are passionate about data engineering, AI, and automation, we want to hear from you.

Key Responsibilities

  • Build Data & AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows.
  • Data Integration & Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
  • Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access.
  • LLM & Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks.
  • AI/ML Development & Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms.
  • Support Analytics & AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
  • Monitor & Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps.
  • MLOps & CI/CD: Support deployment, testing, and automation for data and AI solutions.
  • Data Modeling & Semantic Layers: Assist with STTM, data modeling, and reporting datasets.
  • Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives.
  • Documentation & Automation: Create runbooks, workflows, and technical documentation.

Learning & Development Opportunities

  • Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
  • Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
  • Experience working with AI agents, prompt engineering, and workflow orchestration.
  • Mentorship from Data, AI/ML, and Platform Engineers.
  • Experience in Agile/Scrum and DevOps/MLOps environments.

Qualifications

  • Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
  • Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
  • Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
  • Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
  • Experience with Python-based AI/ML projects or notebooks is a plus.
  • Strong analytical and problem-solving skills.
  • Strong communication and teamwork skills.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.