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Python Llm Jobs in Lancaster, SC (NOW HIRING)

... 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 ...

AVP, AI Solutions Engineer

Fort Mill, SC · Hybrid

$146K - $244K/yr

... frameworks, LLM-based intelligence, and ML engineering practices integrated into the SDLC ... Develop APIs and microservices using Python (FastAPI) and .NET Core for agentic workflows.

... LLM frameworks, and cloud-native AI services. Required Skills Generative AI • Strong ... Python (Mandatory) • LangChain • LangGraph • LlamaIndex • FastAPI • REST APIs Data ...

AI Automation Engineer -Remote

Rock Hill, SC · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript * Excellent ...

Python Llm information

See Lancaster, SC salary details

$11

$49

$73

How much do python llm jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python llm in Lancaster, SC is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $41.20 and $56.78 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.

.NET Full Stack Architect (AWS) (On Site)

.NET Full Stack Architect (AWS) (On Site)

Cognizant

Fort Mill, SC • On-site

$60.50 - $79.50/hr

Full-time

Posted yesterday


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Summary:
Cognizant is seeking an E2E Solution Architect with extensive experience to join their .Net & AI development team. The role involves defining and leading end-to-end solution architecture for enterprise applications, developing high-quality software solutions, and collaborating with cross-functional teams to enhance software applications.
Responsibilities:
• Must have proven experience collaborating with clients and multiple stakeholders, with strong capability in defining and leading end-to-end solution architecture for enterprise applications.
• Develop and Implement and maintain high-quality software solutions using NET Core, SQL and AWS to meet business requirements.
• Use Prompt Engineering using the latest available LLM in Copilot for analysis as well as building out .Net solutions.
• Knowledge in Python is a plus point.
• Knowledge on AWS Bedrock, OpenSearch
• Knowledge and experience in working on different RAG Models, MCP Models and LLM Models
• Deep knowledge on AWS S3, Kubernetes and Lambda
• Collaborate with cross-functional teams to design, implement, and enhance software applications that align with company goals. Ensure the performance, quality, and responsiveness of applications through rigorous testing and debugging processes.
• Contribute to the architecture and design of software systems, ensuring scalability and maintainability.
• Participate in code reviews to maintain code quality and share knowledge with team members.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement.
• Stay updated with the latest industry trends and technologies to incorporate best practices into software development.
• Work closely with stakeholders to gather and analyze requirements, translating them into technical specifications.
• Implement security and data protection measures to safeguard sensitive information within applications.
• Optimize application performance by identifying and resolving bottlenecks and performance issues.
• Document software designs, processes, and code changes to ensure clear communication and knowledge sharing.
• Collaborate with the Asset and Wealth Management team to integrate domain-specific functionalities into software solutions.
• Support the deployment and maintenance of software applications in a hybrid work model, ensuring seamless operation.
Qualifications:
Required:
• E2E Solution Architect with 18+ years of experience to join our .Net & AI development team.
• Expertise in .NET Core, SQL and AWS with a preference for those with experience in Asset and Wealth Management.
• Extensive experience in developing E2E .Net solutions using AWS (Mandatory).
• 1 year experience in Prompt Engineering and must be well versed in tools like Cursor/Visual Studio code and can work with different language models.
• Knowledge in AWS Bedrock and OpenSearch.
• Comfortable with the Python language.
• Must have proven experience collaborating with clients and multiple stakeholders, with strong capability in defining and leading end-to-end solution architecture for enterprise applications.
• Develop and Implement and maintain high-quality software solutions using NET Core, SQL and AWS to meet business requirements.
• Use Prompt Engineering using the latest available LLM in Copilot for analysis as well as building out .Net solutions.
• Knowledge and experience in working on different RAG Models, MCP Models and LLM Models.
• Deep knowledge on AWS S3, Kubernetes and Lambda.
• Collaborate with cross-functional teams to design, implement, and enhance software applications that align with company goals.
• Ensure the performance, quality, and responsiveness of applications through rigorous testing and debugging processes.
• Contribute to the architecture and design of software systems, ensuring scalability and maintainability.
• Participate in code reviews to maintain code quality and share knowledge with team members.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and improvement.
• Stay updated with the latest industry trends and technologies to incorporate best practices into software development.
• Work closely with stakeholders to gather and analyze requirements, translating them into technical specifications.
• Implement security and data protection measures to safeguard sensitive information within applications.
• Optimize application performance by identifying and resolving bottlenecks and performance issues.
• Document software designs, processes, and code changes to ensure clear communication and knowledge sharing.
• Collaborate with the Asset and Wealth Management team to integrate domain-specific functionalities into software solutions.
• Support the deployment and maintenance of software applications in a hybrid work model, ensuring seamless operation.
Company:
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era. Founded in 1994, the company is headquartered in Teaneck, USA, with a team of 10001+ employees. The company is currently Late Stage.

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