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Python Llm Jobs in Edison, NJ (NOW HIRING)

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms. Roles and ...

New

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Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python llm in Edison, NJ is $60.69, according to ZipRecruiter salary data. Most workers in this role earn between $50.00 and $68.94 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 Edison, NJ?

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

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

Infographic showing various Python Llm job openings in Edison, NJ as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 10% Part Time, 3% Temporary, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $126,231 per year, or $60.7 per hour.

AI/LLM Engineer

2T Consulting

Bayonne, NJ • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms.

Roles and Responsibilities

Agent & AI System Development

  • Design and develop AI agent systems using LangChain, LangGraph, or similar frameworks.
  • Build intelligent components capable of reasoning, planning, and autonomous task execution.
  • Implement agentic patterns such as ReAct (Reasoning + Acting).
  • Develop multi-step LLM workflows and agent orchestration.

LLM Capabilities & Enhancements

  • Implement memory, tool usage, context management, and MCP capabilities.
  • Develop solutions using tool calling, chaining, and workflow orchestration.
  • Work with prompt engineering teams to improve LLM response quality and performance.
  • Optimize LLM applications for scalability, reliability, and cost.

Software Engineering

  • Develop high-quality, scalable, and maintainable Python applications, including asynchronous programming.
  • Build and maintain APIs and microservices for AI and agent-based applications.
  • Integrate AI services with enterprise applications and backend systems.
  • Develop production-ready solutions with appropriate testing, monitoring, and error handling.

Guardrails & Responsible AI

  • Design and implement guardrails and safety mechanisms for LLM-powered applications.
  • Handle edge cases, failures, hallucinations, and unintended model outputs.
  • Implement appropriate validation, security, and access controls for AI systems.

Data & Platform Integration

  • Integrate AI solutions with modern data platforms, including Snowflake and Databricks.
  • Work with Lakehouse architectures and enterprise data pipelines.
  • Enable LLM applications to securely access and leverage enterprise data.
  • Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.
Required Technical Skills
  • 5+ years of experience in software engineering, AI/ML engineering, or a related field.
  • Strong hands-on experience with Python and asynchronous programming.
  • Experience building LLM and generative AI applications.
  • Strong experience with LangChain, LangGraph, or similar agent frameworks.
  • Understanding of AI agents, ReAct, tool calling, memory, context management, and MCP.
  • Experience developing REST APIs and microservices.
  • Experience integrating AI applications with Snowflake, Databricks, or Lakehouse platforms.
  • Strong understanding of scalable, production-ready software architectures.
  • Knowledge of LLM guardrails, responsible AI, security, and failure handling.
  • Strong problem-solving, communication, and collaboration skills.
Preferred Skills
  • Experience with multi-agent systems and agent orchestration.
  • Knowledge of vector databases and RAG architectures.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with LLM observability, evaluation, and performance optimization.
  • Experience deploying AI applications in enterprise production environments.