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Python Llm Jobs (NOW HIRING)

Python Engineer - GenAI Agents & MCP Servers Contract Location: Remote Key Responsibilities ... Build, configure, and troubleshoot MCP servers and custom tools for LLM-based applications.

Fulltime Skill Years of Experience GenAI Python LLM (Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama) MLOps Retrieval-Augmented Generation (RAG) JD * 8-10 years of relevant experience ...

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 ...

Sr Software Engineer

Pittsburgh, PA

$118K - $156K/yr

Python LLM Basics RAG Systems Design and Engineering Ability to design a fault tolerant production system APIs Agile Nice to Have Skills: Java Jira Microsoft Office Experience with relational ...

Python Full Stack Developer 📍 Dallas, TX (Onsite) 📄 W2 Only We are looking for a highly experienced Python Full Stack Developer with strong expertise in backend, cloud, and AI/LLM-based ...

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Java Full Stack Engineer

Dallas, TX · On-site

$52.25 - $67.25/hr

Candidates limited exclusively to Python/LLM development. We are looking for engineers who have: * Experience integrating AI or agentic workflows into business applications. * Practical exposure to ...

Python AI Dev

Jersey City, NJ · On-site

$55 - $75.75/hr

Responsibilities : • 8+ years of software development experience • Strong hands-on Python development • Experience building AI/GenAI applications • Chatbot, conversational AI, or LLM-based ...

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Python Llm information

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How much do python llm jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python llm in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.

More about Python Llm jobs
What cities are hiring for Python Llm jobs? Cities with the most Python Llm job openings:
What are the most commonly searched types of Python Llm jobs? The most popular types of Python Llm jobs are:
What states have the most Python Llm jobs? States with the most job openings for Python Llm jobs include:
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Infographic showing various Python Llm job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Ai Engineer-Python, LAG/LLM & Agentic Platform Development

Ai Engineer-Python, LAG/LLM & Agentic Platform Development

System One Holdings, LLC

Farmers Branch, TX

Other

Posted 4 days ago


Job description

Senior Full Stack Engineer – AI/LLM Platform

5 days onsite Pittsburgh, PA / Farmers Branch, TX / Strongsville, OH / Birmingham, AL / Phoenix, AZ Contract to Hire

JOB DESCRIPTION

The Software Engineer Sr is responsible for designing, developing, and supporting scalable software solutions for Intelligent Automation initiatives leveraging AI technologies. This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal candidate will combine strong full-stack engineering capabilities with modern AI/ML system design experience to deliver intelligent, scalable, and data-aware applications. The role requires close collaboration with product managers, data scientists, business teams, and engineering partners to deliver enterprise-grade AI-powered solutions.

Must Have
  • Ability to design fault-tolerant production systems
  • Agile development experience
  • APIs and API platform engineering
  • Large Language Model (LLM) fundamentals
  • Strong Python development experience
  • Retrieval-Augmented Generation (RAG)
  • Strong experience building production-grade services using Python and/or Java
  • Experience integrating LLMs or AI services into enterprise applications
  • Experience designing and operating API-based platforms
  • Systems design and engineering expertise
Nice To Have
  • Experience with relational databases
  • Java
  • Jira
  • Microsoft Office
Key Responsibilities
  • AI Platform Engineering
    • Design and develop scalable AI-powered applications using Python and modern software engineering practices
    • Build and support Agentic AI platform capabilities for enterprise internal users
    • Integrate Large Language Models (LLMs) and AI services into enterprise applications
    • Develop Retrieval-Augmented Generation (RAG) pipelines and intelligent data-aware systems
    • Implement scalable API-based services and AI integration platforms
    • Design resilient and fault-tolerant distributed systems for production environments
  • Software Development & Engineering
    • Modify existing software to correct errors, improve performance, and upgrade functionality
    • Design and develop software systems using scientific analysis and engineering best practices
    • Create scalable backend services and APIs supporting enterprise platforms
    • Support full software development lifecycle activities including analysis, development, testing, deployment, and support
    • Troubleshoot system issues and implement production improvements as needed
    • Develop and execute software testing and validation procedures
  • Systems Design & Architecture
    • Design secure, scalable, and maintainable enterprise solutions
    • Build production-grade services capable of supporting enterprise-scale workloads
    • Define system integrations and API communication patterns
    • Collaborate with engineering teams to establish technical specifications and performance requirements
    • Support operational excellence, monitoring, and continuous improvement initiatives
  • Cross-Functional Collaboration
    • Work closely with product managers, data scientists, designers, QA teams, and business partners
    • Participate in Agile ceremonies and engineering planning activities
    • Communicate technical solutions effectively across technical and non-technical teams
    • Support enterprise initiatives impacting organization-wide AI adoption and automation
Preferred / Flex Skills
  • Java development experience
  • Experience with relational databases and SQL
  • Familiarity with Jira and Agile project tracking tools
  • Exposure to enterprise AI/ML platforms and intelligent automation solutions
  • Financial Services or Banking industry experience preferred
Soft Skills
  • Strong written and verbal communication skills
  • Excellent problem-solving and analytical abilities
  • Ability to work independently and collaboratively within teams
  • Strong time management and multitasking capabilities
  • Adaptability in fast-paced enterprise environments
Education

Bachelor's Degree in Computer Science, Engineering, or related field preferred. Equivalent work experience will be considered.