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Llm Developer Jobs in West Virginia (NOW HIRING)

Thrivent Financial

Mgr, Engineering

Charleston, WV

... developer-experience teams, including platform-as-a-product practices and adoption/outcome metrics * Familiarity with evaluation and observability for LLM and agentic systems (automated evaluation ...

Locatee Ag

... Developer Platform (IDP) - the foundational layer that powers engineering velocity across the ... LLM signals (token usage, model latency, inference cost, agent task completion rates) Operate a ...

Locatee AG

... Developer Platform (IDP) - the foundational layer that powers engineering velocity across the ... LLM signals (token usage, model latency, inference cost, agent task completion rates) Operate a ...

iSoftStone

$130K - $150K/yr

... LLM-based applications, RAG, prompt engineering, and AI orchestration. -Implement enterprise-grade security, governance, data access, monitoring, and responsible AI practices. -Work with business ...

iSoftStone

Microsoft Copilot and AI

Charleston, WV · Remote

... LLM-based applications, RAG, prompt engineering, and AI orchestration. -Implement enterprise-grade security, governance, data access, monitoring, and responsible AI practices. -Work with business ...

GDIT

AI/ML Delivery Engineer

WV · On-site +1

... model (LLM) applications, workflow automation, model serving, evaluation, monitoring, and ... and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who ...

Cengage Learning

Software Engineer

Charleston, WV · On-site

As a Software Engineer, you will deliver a world-class experience for learners and instructors on ... Familiarity with AI/ML concepts and emerging technologies, including generative AI and LLM-based ...

Leap

Senior Platform Engineer

Charleston, WV · Remote

$160K - $175K/yr

... and LLM platforms such as Amazon Bedrock. * Candidates should expect to show us how they actually work with agents during the interview process. PREFERRED SKILLS * Internal developer platform ...

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How much do llm developer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for llm developer in West Virginia is $38.84, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $47.07 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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Llm Developer jobs near you
Infographic showing various Llm Developer job openings in West Virginia as of August 2026, with employment types broken down into 80% Full Time, 7% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $80,780 per year, or $38.8 per hour.

Senior Prompt Engineer: LLM Migration & Optimization

Welo Data

Charleston, WV • Remote

$96K - $132K/yr

Part-time

Re-posted 8 days ago

Job description

Are you an expert at navigating the complex architecture of Large Language Models? Welo Data is seeking a Senior Prompt Engineer to lead the technical migration of template workflows into high-performance LLM autoraters.

This role is designed for a technical specialist who understands that "perfecting a prompt" is a rigorous engineering discipline. You will leverage advanced APG/APO tools and manual refinement to ensure our automated systems meet—and exceed—human crowd baselines in accuracy and nuance.

🚀 The Mission: Automated Quality at Scale
  • Architectural Migration: Take full ownership of the end-to-end technical migration of templates to LLM autoraters.
  • Optimization Leadership: Utilize Automatic Prompt Generation (APG) and supervise Automated Prompt Optimization (APO) tools to push model performance past plateaus and deadlocks.
  • Metrics-Driven Excellence: Continuously measure quality against "gold data" baselines, tracking precision, recall, and $F_1$ scores to justify launch readiness.
  • Edge-Case Engineering: Manually draft and refine complex prompts to overcome anti-patterns and architecture gaps that automated tools can't solve.
Project Details
  • Job Title: Senior Prompt Engineer (LLM Migration)
  • Schedule: Part-Time (Set your own hours within project milestones)
  • Location: 100% Remote (Must be based in the United States)
  • Employment Type: Freelance / Independent Contractor
Candidate Profile
  • Educational Foundation: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
  • Prompt Engineering Mastery: 4+ years of experience tuning LLMs for strict, structured outputs, complex classification, and few-shot learning.
  • Analytical Power: High proficiency in identifying error patterns and using SQL or data analytics tools to monitor performance.
  • Technical Agility: Fast learner capable of mastering proprietary internal tools and "Goose API" style interfaces with minimal oversight.
Preferred Technical Skills
  • Familiarity with shadowbot monitoring and disagreement tracking.
  • Experience in AI model evaluation and software engineering.
  • Deep understanding of semantics, logic, and Chain-of-Thought (CoT) prompting.
  • Proven ability to draft high-level Launch Certification Documentation.
Recruitment & Onboarding
  1. Technical Review: Submit your CV and portfolio of LLM optimization work.
  2. Prompt Assessment: Demonstrate your ability to navigate complex template clusters and APO deadlocks.
  3. Tooling Deep-Dive: Get access to our internal technical suite and migration workflows.
  4. Launch: Begin your part-time engagement and lead the shift to LLM-driven autorating.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.