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Python Llm Jobs in Whippany, NJ (NOW HIRING)

Scalence L.L.C.

AI/LLM Engineer

Manhattan, NY · On-site

L.C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based ... The role requires strong Python engineering expertise and hands-on experience with modern agent ...

Jefferies

VP, Network Security Engineer

Jersey City, NJ

$185K - $200K/yr

The ideal candidate will be knowledgeable with Integrating Automation (Python, LLM's) into the Network Security stack of tools and services. They will also have experience in: Management of Next ...

Cliff Services Inc

AI/LLM Eng

Jersey City, NJ · On-site

... Python backend development (FastAPI/Flask) API integrations and workflow orchestration Deep Learning & Machine Learning (model training, fine-tuning, evaluation PyTorch/TensorFlow) Good to have:

Jefferies

VP, Network Security Engineer

Jersey City, NJ · On-site

$185K - $200K/yr

The ideal candidate will be knowledgeable with Integrating Automation (Python, LLM's) into the Network Security stack of tools and services. They will also have experience in: Management of Next ...

Uncountable

LLM Applications Engineer

New York, NY · On-site

$130K - $175K/yr

As an LLM Applications Engineer, you will be the architect of our LLM infrastructure. You won't ... Proficiency in Python and JavaScript/TypeScript: Ability to work across the AI backend and the ...

Precision Technologies Corp

Python GenAI

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Role - Python GenAI Location - Jersey City, NJ/Charlotte, NC / Dallas, TX / NYC Type: W2-Contract ... LLM Models (Llama, Mixtral, Mistral) * Various inferencing mechanisms - transformer/pipeline, vllm

Scalence L.L.C.

AI/LLM Engineer

Manhattan, NY · On-site

Required : • 8-10 Years of experience in AI/LLM Engineering • Strong Python engineering expertise • Hands-on experience with modern agent frameworks • Solid understanding of data platforms ...

Photon

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and ... Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering ...

Photon

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and ... Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering ...

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All JobsPython Llm JobsPython Llm Jobs in Whippany, NJ

Python Llm information

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$13

$58

$86

How much do python llm jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for python llm in Whippany, NJ is $58.96, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $66.97 per hour, depending on experience, location, and employer.

What is a Python LLM job?

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 cities near Whippany, NJ are hiring for Python Llm jobs? Cities near Whippany, NJ with the most Python Llm job openings:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Whippany, NJ as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $122,634 per year, or $59 per hour.

AI/LLM Engineer

Scalence L.L.C.

Manhattan, NY • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Scalence L.L.C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role requires strong Python engineering expertise and hands-on experience with modern agent frameworks to create systems that can reason, plan, and act autonomously.
Responsibilities:
• Agent & AI System Development
• Design and build agent-based systems using frameworks such as LangChain, LangGraph, or similar.
• Develop intelligent components capable of reasoning, planning, and executing tasks autonomously.
• Implement advanced cognitive patterns such as ReAct (Reasoning + Acting).
• Develop and integrate memory, tool usage, and context management capabilities (MCP).
• Build systems that leverage tool calling, chaining, and orchestration of LLM workflows.
• Collaborate with prompt engineers to enhance model responses and performance.
• Write high-quality, scalable code using Python (including async programming).
• Build and maintain APIs and microservices for AI/agent-based applications.
• Ensure systems are efficient, reliable, and production-ready.
• Design and implement guardrails and safety mechanisms for LLM-driven systems.
• Ensure robust handling of edge cases, failure scenarios, and unintended outputs.
• Work with modern data platforms such as: Snowflake, Databricks, Lakehouse Architectures.
• Integrate AI solutions with enterprise data pipelines and systems.
Qualifications:
Required:
• 8-10 Years of experience in AI/LLM Engineering
• Strong Python engineering expertise
• Hands-on experience with modern agent frameworks
• Solid understanding of data platforms and scalable architectures
• Experience in designing and building agent-based systems using frameworks such as LangChain, LangGraph, or similar
• Ability to develop intelligent components capable of reasoning, planning, and executing tasks autonomously
• Experience implementing advanced cognitive patterns such as ReAct (Reasoning + Acting)
• Ability to develop and integrate memory, tool usage, and context management capabilities (MCP)
• Experience building systems that leverage tool calling, chaining, and orchestration of LLM workflows
• Collaboration with prompt engineers to enhance model responses and performance
• Ability to write high-quality, scalable code using Python (including async programming)
• Experience building and maintaining APIs and microservices for AI/agent-based applications
• Ensuring systems are efficient, reliable, and production-ready
• Designing and implementing guardrails and safety mechanisms for LLM-driven systems
• Ensuring robust handling of edge cases, failure scenarios, and unintended outputs
• Experience working with modern data platforms such as Snowflake, Databricks, and Lakehouse Architectures
• Ability to integrate AI solutions with enterprise data pipelines and systems
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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