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Python Llm Jobs in Trenton, NJ (NOW HIRING)

Nuuly Senior Software Engineer

Philadelphia, PA · On-site

$123K - $163K/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

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Devops/SRE/AI

Trenton, NJ · On-site

$75/hr

Automate operational workflows using Python and Infrastructure-as-Code practices. * Implement ... Knowledge of vector databases, LLM deployment, or MLOps concepts * Experience with Kubernetes ...

Sr Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Strong expertise with one or more programming language(s) (C++, Python). * Strong expertise in ... Experience with AI/ML technologies, including LLM-based agents, and workflow automation platforms ...

The ideal candidate will have strong experience with Python, PySpark, large-scale data platforms ... integrating LLM APIs into enterprise applications. • Experience with Vector Databases. • ...

AI Engineer

Philadelphia, PA · On-site

$50K - $112K/yr

... using Python and TensorFlow - Integrating data from various sources to create unified views for ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

Experience working with LLM technologies, including developing generative and embedding techniques ... Ability to write clean, expressive code in Python, use of open source frameworks such as TensorFlow ...

Showing results 41-60

Python Llm information

See Trenton, NJ salary details

$13

$58

$86

How much do python llm jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python llm in Trenton, NJ is $58.78, according to ZipRecruiter salary data. Most workers in this role earn between $48.46 and $66.78 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 Trenton, NJ?

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

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

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

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

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

Infographic showing various Python Llm job openings in Trenton, NJ as of August 2026, with employment types broken down into 2% Internship, 84% Full Time, 7% Part Time, and 7% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,269 per year, or $58.8 per hour.

Healthcare Data Scientist & AI Solutions

BioVid

Bristol, PA • On-site

$120K/yr

Full-time

Re-posted 4 hours ago


Job description

BioVid is transforming pharmaceutical market research by replacing slow, traditional methodologies with AI-augmented data systems.
In this role, you will personally analyze the data to uncover HCP prescribing behavior and behavioral insights. You will help bridge quantitative real-world data with qualitative market research, and play a key role in developing synthetic audiences ("Digital Twins") that mirror healthcare provider prescribing behavior and patient treatment journeys, while enabling scalable forecasting, segmentation, and market intelligence solutions.
Must-Have Qualifications
Hands-on analysis of medical / pharmacy claims data (EHR preferred)
Direct, hands-on experience analyzing the data itself - not only engineering it. You can extract and predict HCP prescribing behavior for specific drugs, for specific conditions, in specific treatment areas, and tag HCP qualitative / attitudinal segments to NPIs, associating those segments with real prescribing behavior. HIPAA requirements fluent (most of our data will be deidentified)
  • Analyze medical and pharmacy claims to extract and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas.
  • Perform HCP / patient segmentation, demand forecasting, journey mapping, modeling
  • Help build Synthetics, simulated segments and HCP equivalents.
  • Machine Learning experience in modeling training and evaluating models (LLM fine tuning, training a nice to have)
  • Tag qualitative / attitudinal HCP segments to NPIs and link them to observed prescribing behavior.
  • Translate these analyses into actionable segmentation, targeting, and forecasting insights.

Data Cleaning, Processing, Augmentation and Transformation
  • Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling in AWS/Athena.

Key Responsibilities
Data Integration & Modeling
  • Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling inAWS/Athena.
  • Resolve identity matching, tokenization, and data harmonization challenges across disparate sources.
  • Build scalable, tested, and version-controlled data models using dbt on AWS/Athena.

Data Quality, Governance & Compliance
  • Implement automated data quality checks using tools such as Great Expectations or equivalent.

Analytics, AI & Machine Learning
  • Conduct advanced exploratory data analysis (EDA) and feature engineering using SQL, Python, pandas, and numpy.
  • Analyze claims data to model and predict HCP prescribing behavior by drug, condition, and treatment area, and associate attitudinal segments with NPIs.
  • Build AI-powered synthetic provider and patient personas grounded in real-world claims distributions.
  • Develop methods to scale qualitative research insights into national quantitative projections.
  • Machine Learning experience in modeling training and evaluating models. (LLM fine tuning and training a nice to have
  • Perform (or help perform) and automate pharmaceutical market research including:
  • HCP segmentation
  • Demand forecasting
  • Patient journey mapping
  • Audience simulation

API & Product Delivery
  • Build and maintain performant backend APIs using FastAPI, deployed on AWS (e.g., ECS/Fargate, App Runner, or Lambda).
  • Deliver data products, personas, and insights to internal tools and client-facing applications.

Skills & Experience
  • 5+ years in Analytics Engineering, Data Engineering, Data Science, or similar roles.
  • Proven ownership of end-to-end data pipelines and scalable analytics systems on AWS.
  • Hands-on experience with AWS data and analytics tooling, including Athena, S3, Glue, and SageMaker (AWS is the primary environment).
  • Strong experience with healthcare claims and EHR data (Rx, Dx, medical, pharmacy) and major data vendors such as IQVIA, Komodo, Symphony, or Definitive Healthcare.
  • Demonstrated hands-on analysis of medical/pharmacy claims to extract and predict HCP prescribing behavior and tag attitudinal segments to NPIs.
  • Expert SQL and strong Python skills, including pandas and large-scale data workflows.
  • Understanding of pharma market research, including patient journeys, HCP segmentation, and demand modeling.
  • Experience integrating survey or primary research data with large quantitative datasets.
  • Comfortable using AI coding assistants and agentic development tools to accelerate delivery.