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Llm Jobs in Raleigh, NC (NOW HIRING)

Photon

Angular Developer

Durham, NC · On-site

$49.50 - $60.75/hr

Effectively prompt and refine LLM outputs for coding tasks, debugging, refactoring, and improving productivity Required Skills & Qualifications: * * Proficient in REST API development with Node.js, ...

LexisNexis

Dir Software Engineering

Raleigh, NC · On-site

$136K - $252K/yr

This position will guide teams working across AWS, Java-based services, enterprise search with Solr, LLM-enabled product capabilities, Model Context Protocol integrations, and MCP Apps.

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG patterns, agentic systems, and multimodal solutions. * Establish standardized architectural patterns for ...

LexisNexis

Dir Software Engineering

Raleigh, NC

$136K - $252K/yr

This position will guide teams working across AWS, Java-based services, enterprise search with Solr, LLM-enabled product capabilities, Model Context Protocol integrations, and MCP Apps.

RELX

Dir Software Engineering

Raleigh, NC

$136K - $252K/yr

This position will guide teams working across AWS, Java-based services, enterprise search with Solr, LLM-enabled product capabilities, Model Context Protocol integrations, and MCP Apps.

LangChain

Deployed Engineer (Raleigh)

Raleigh, NC · On-site

... LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling • Are comfortable working directly with customers during POCs, architecture ...

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG patterns, agentic systems, and multimodal solutions. * Establish standardized architectural patterns for ...

RELX Group plc

Dir Software Engineering

Raleigh, NC · On-site

$136K - $252K/yr

This position will guide teams working across AWS, Java-based services, enterprise search with Solr, LLM-enabled product capabilities, Model Context Protocol integrations, and MCP Apps.

RIT Solutions, Inc.

Sr Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Required : • 10+ yrs production ML at scale • LLM/GenAI/RAG deployment • Cloud (AWS/Azure/GCP) • Kubernetes/containerization • Agentic systems & tool orchestration • MCP servers • ...

Deloitte

Lead Forward Deployed Engineer, Snowflake

Raleigh, NC · On-site

$99K - $131K/yr

Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform ...

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG patterns, agentic systems, and multimodal solutions. * Establish standardized architectural patterns for ...

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG patterns, agentic systems, and multimodal solutions. * Establish standardized architectural patterns for ...

Celonis

Senior Value Engineer - Technology Consultant

Raleigh, NC · On-site

$53.75 - $69.25/hr

  • Medical

  • PTO

By using the Celonis Process Intelligence platform to feed critical operational context to AI and LLM tools, you will help our customers move past simple automation to deploy intelligent, autonomous ...

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All JobsLlm JobsLlm Jobs in Raleigh, NC

Llm information

See Raleigh, NC salary details

$83.1K

$139.4K

$177.8K

How much do llm jobs pay per year?

As of Aug 16, 2026, the average yearly pay for llm in Raleigh, NC is $139,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,100.00 and $153,900.00 per year, depending on experience, location, and employer.

What is an LLM?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What are the key skills and qualifications needed to thrive as an LL.M. graduate?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What are some common challenges faced by professionals working with large language models and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

What jobs can you do with a large language model?

A large language model (LLM) can be used in roles such as AI content developer, chatbot designer, data annotator, or AI researcher. These jobs often require skills in programming, natural language processing, and machine learning tools, and may involve tasks like training, fine-tuning, or deploying language models in various applications.

Which large language model is most in demand?

The most in-demand large language models for jobs like LLM development and deployment are OpenAI's GPT-4 and GPT-3, as well as Google's PaLM and Meta's LLaMA. Skills in fine-tuning, prompt engineering, and understanding these models are highly sought after in the AI industry.
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Llm jobs near you
Infographic showing various Llm job openings in Raleigh, NC as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $139,408 per year, or $67 per hour.

Angular Developer

Photon

Durham, NC • On-site

$49.50 - $60.75/hr

Other

Re-posted 16 days ago

Job description

Title: Angular Developer

Duration: FTE

Job location: Durham NC

Required Qualifications

 
In person Client round is required
Description for Internal Candidates
 
The Frontend Developer will play a key role in building intuitive, scalable, and high-performance user interfaces for modern web applications. This role requires a strong foundation in frontend technologies along with the ability to collaborate closely with product managers, designers, and backend teams to deliver seamless user experiences.
You will be responsible for developing and maintaining responsive, accessible, and user-friendly applications while leveraging modern frameworks and tools. The role also involves working with AI-assisted development tools to improve productivity, generate code, and streamline development workflows.
The ideal candidate is passionate about clean UI/UX, performance optimization, and building reusable components while ensuring consistency across applications.
Key Responsibilities:
UI Development: Develop responsive, scalable, and high-quality user interfaces using modern frontend frameworks
Application Modernization: Contribute to both greenfield development and enhancement of existing (legacy) frontend applications
Code Quality & Best Practices: Follow coding standards, perform code reviews, and maintain clean, testable, and efficient code
AI-Assisted Development: Leverage tools like GitHub Copilot, ChatGPT, or similar to accelerate development, code generation, and documentation
LLM Interaction: Effectively prompt and refine LLM outputs for coding tasks, debugging, refactoring, and improving productivity
Required Skills & Qualifications:
    • Proficient in REST API development with Node.js, with recent experience in the last 1-2 years. Experience with NestJS is a plus.
    • 6-9 years of Typescript experience, Github, Sonar, Jenkins, Datadog, Splunk
    • Front-end experience with JavaScript frameworks (React, Angular, etc.) with recent experience in the last 1-2 years. 
    • Experience working with AI for day to day development, copilot is a plus, and agentic AI is a plus.
    • Proficient in coding, unit test, QA automation, CI/CD
    • Familiarity with system configuration, API subscription workflows, and release management.
    • Strong troubleshooting and debugging skills.
    • Technical proficiency in performing QA testing and end-to-end validation of onboarding flows.
    • Familiarity with test case creation, execution, and defect tracking.
    • Ability to collaborate with engineering to validate integration and ensure readiness for production.

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