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Python Llm Jobs in Whippany, NJ (NOW HIRING)

Python Software Engineer

Jersey City, NJ ยท On-site

$55 - $60/hr

Python Software Engineer Location: Jersey City, NJ (Hybrid) MOI: 1st round virtual, 2nd round F2F ... LLM-based application development and orchestration * Exposure to Model Context Protocol (MCP) or ...

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Python Llm information

See Whippany, NJ salary details

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How much do python llm jobs pay per hour?

As of Aug 8, 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?

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:
Infographic showing various Python Llm job openings in Whippany, NJ as of August 2026, with employment types broken down into 2% Internship, 81% Full Time, 10% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $122,634 per year, or $59 per hour.

Founding Engineer (Python / AI / Data Platform)

Jahnel Group

New York, NY โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

Jahnel Group's mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work.
Who We're Looking For
We're looking for a Founding Engineer to help build the core data and AI infrastructure powering how healthcare policy information is structured, queried, and used in production systems.
This is a high-ownership role in an early-stage environment where you will work directly with founders, define core architecture decisions, and build systems from the ground up. You'll be responsible for turning complex, unstructured healthcare data into reliable, AI-powered infrastructure that scales.
This role is ideal for someone who thrives in ambiguity, enjoys building end-to-end systems, and is excited about applying modern AI/LLM techniques to real-world data problems.
Primary Responsibilities
  • Design and build core backend systems using Python and SQL
  • Build and scale data ingestion pipelines for unstructured healthcare policy data
  • Define and evolve data models, schemas, and APIs for long-term platform scalability
  • Build AI-powered pipelines using LLMs, embeddings, and RAG architectures
  • Develop evaluation frameworks for LLM systems (testing, benchmarking, monitoring, QA workflows)
  • Improve data quality, traceability, and system reliability across the platform
  • Rapidly prototype and productionize new ideas in close collaboration with founders
  • Build systems for auditability, explainability, and validation of AI-generated outputs
  • Continuously iterate on architecture, performance, and product direction
Some Must Haves:
  • 5+ years of experience building backend or data-heavy systems
  • Strong proficiency with Python, SQL, and Postgres
  • Experience building data pipelines and data-driven software systems
  • Hands-on experience with AI/LLM systems (RAG, embeddings, prompt engineering, evals, hallucination mitigation)
  • Strong system design and architecture skills
  • Experience working with cloud infrastructure (AWS preferred)
  • Strong product mindset and ability to make tradeoffs between technical and business value
  • Comfort working in highly ambiguous, fast-paced environments
  • Proven ability to own projects end-to-end without heavy direction
Nice to Have:
  • Experience in healthcare, payer/provider, or health tech domains
  • Startup or early-stage founding team experience
  • Experience with FastAPI or similar backend frameworks
  • Familiarity with modern data warehouses (e.g., Snowflake)
  • Exposure to TypeScript/React frontend development
  • Experience with Terraform or infrastructure-as-code
  • Experience with containerized systems and orchestration

Where We're Looking For It
  • New York
Other Information
This is a high-impact founding role working directly with company leadership. Expect fast iteration, high autonomy, and significant ownership of core systems. Work hours align with US collaboration needs.
Position available immediately.