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Python Llm Jobs in Charleston, WV (NOW HIRING)

Filevine

Senior Backend Engineer - Python

Charleston, WV · Remote

$165K - $215K/yr

Mentor mid-level and junior engineers in async Python best practices, pydantic -ai agent design ... offs, and LLM behavior to non-technical stakeholders and cross-functional partners. * Growth ...

AHEAD

Full Stack Engineer

Charleston, WV · Remote

$160K - $190K/yr

We're hiring a full stack engineer who is comfortable across all parts of the stack (Python, JavaScript, React/Vue, APIs, AI/LLM integration) and can help ship production-grade UI using established ...

Bespoke Labs

Machine Learning Engineer

Charleston, WV

... 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 ...

Bespoke Labs

Machine Learning Engineer

Charleston, WV · On-site

... 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 ...

3Pillar

AI Data Architect

Charleston, WV · Remote

$65.25 - $84/hr

Python, SQL, Snowflake/Databricks, AWS (S3, Glue, EKS, Bedrock, Kinesis, Redshift), Docker, Kubernetes, Terraform, GitHub Actions, LangChain, LlamaIndex, LLM APIs (OpenAI, AWS Bedrock, Claude ...

Lyra Health

Senior AI/ML Backend Engineer

Charleston, WV · Remote

$161K - $221K/yr

Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming ... Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token ...

New

Lyra Health

Senior AI/ML Platform Engineer

Charleston, WV · Remote

$143K - $197K/yr

Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming ... Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with ...

New

SQUIRE

Director, Data Engineering

Charleston, WV · Remote

$200K - $230K/yr

Advanced SQL and Python skills, along with strong MDM fundamentals, with the technical depth to ... Direct experience setting AI and LLM enablement strategy and building with LLM tooling

AHEAD

Senior AI Engineer, AI Services

Charleston, WV · Remote

$200K - $250K/yr

Create and operate LLM/ML endpoints, agent memory/state stores, and event-driven triggers ... Build real-time and batch workflows using Python, Kafka, EventBridge, Airflow, Snowflake, S3, n8n ...

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All JobsPython Llm JobsPython Llm Jobs in Charleston, WV

Python Llm information

See Charleston, WV salary details

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How much do python llm jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for python llm in Charleston, WV is $56.97, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 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.

What are popular job titles related to Python Llm jobs in Charleston, WV? For Python Llm jobs in Charleston, WV, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Charleston, WV look for? The top searched job categories for Python Llm jobs in Charleston, WV are:
Python Llm jobs near you
Infographic showing various Python Llm job openings in Charleston, WV as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $118,503 per year, or $57 per hour.

Senior Backend Engineer - Python

Filevine

Charleston, WV • Remote

$165K - $215K/yr

Full-time

Re-posted 24 days ago

Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
 
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Responsibilites
• Contribute to the design and evolution of the AI orchestration layer, building durable, fault-tolerant agentic workflows using Temporal activities and ReAct reasoning loops powered by pydantic-ai and Claude.

• Deliver features across their complete lifecycle — from design and prototyping through implementation, pytest/syrupy snapshot testing, GitLab CI/CD deployment via Octopus Deploy, and New Relic APM post-launch monitoring.
 
• Uphold engineering excellence by conducting thorough code reviews, writing comprehensive tests (unit, integration, Playwright end-to-end), maintaining structlog observability, and upholding uv monorepo workspace standards.
 
• Mentor mid-level and junior engineers in async Python best practices, pydantic-ai agent design, and clean, testable agentic architecture.
 
• Collaborate closely with product managers, UX designers, legal domain experts, and frontend engineers to translate complex attorney workflows into reliable, high-impact AI-powered features.
 
• Actively participate in cross-team planning, design reviews, sprint ceremonies, and AI platform standards discussions.
 
• Communicate technical trade-offs, agentic design decisions, and reliability impacts clearly to both technical teams and non-technical stakeholders, while contributing to AI orchestration roadmap discussions.
Qualifications
• 6+ years of professional backend development experience with expert-level mastery of Python (3.12+), async/await, FastAPI, and Pydantic v2.
 
• Proven production experience building complex, distributed systems — ideally including durable workflow orchestration (Temporal or equivalent), message queues, or event-driven architectures.
 
• Exceptional communication skills, with the ability to clearly articulate agentic design decisions, reliability trade-offs, and LLM behavior to non-technical stakeholders and cross-functional partners.
 
• Growth mindset, strong collaborative approach, genuine passion for mentoring others, and proven track record of delivering high-impact features end-to-end in fast-moving production environments.
 
• Bachelor’s degree in Computer Science or related field preferred — equivalent experience, certifications, or demonstrated expertise with a strong production track record considered equally.
Compensation Information: $165,000 - 215,000
 
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive 
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
 
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
 
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.