Prompt engineering, RAG architectures, or LLM orchestration frameworks * Design AI-enabled business ... Experience with Python or SQL Experience supporting pre-sales or solution consulting engagements ...
Quick apply
Prompt engineering, RAG architectures, or LLM orchestration frameworks * Design AI-enabled business ... Experience with Python or SQL Experience supporting pre-sales or solution consulting engagements ...
Senior Application Security Engineer
Charleston, WV ยท On-site +1
$54.25 - $72.75/hr
... C#, or Python * Hands-on fluency using AI to accelerate real security work, with judgment about where to trust it and where to verify * Working knowledge of how LLM and agent features fail ...
Senior Application Security Engineer
Charleston, WV ยท On-site +1
$54.25 - $72.75/hr
... C#, or Python * Hands-on fluency using AI to accelerate real security work, with judgment about where to trust it and where to verify * Working knowledge of how LLM and agent features fail ...
AI Data Engineer
$106K - $127K/yr
Strong Python skills and fluency across the data stack (we use Snowflake and Postgres) * Experience ... Familiarity with LLM evaluation and observability tooling * Exposure to MCP-based tooling or ...
Quick apply
AI Data Engineer
$106K - $127K/yr
Strong Python skills and fluency across the data stack (we use Snowflake and Postgres) * Experience ... Familiarity with LLM evaluation and observability tooling * Exposure to MCP-based tooling or ...
Python Llm information
What is a Python LLM?
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 the most commonly searched types of Python Llm jobs in West Virginia?
The most popular types of Python Llm jobs in West Virginia are:
What are popular job titles related to Python Llm jobs in West Virginia?
For Python Llm jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in West Virginia look for?
The top searched job categories for Python Llm jobs in West Virginia are:
What cities in West Virginia are hiring for Python Llm jobs?
Cities in West Virginia with the most Python Llm job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 6 days ago
Job description
Company Description
Additional Information
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job DescriptionExperian is looking for an Solutions Engineer who combines technical depth with client engagement expertise to increase adoption of the Bureau Composer (BC) data and decisioning orchestration platform.
This is an AI-first, client-facing role at the intersection of solution architecture, AI-driven decisioning, and revenue enablement. You will partner with clients, sales, and other teams to design and deliver AI-powered, data-driven solutions across credit, fraud, and identity use cases.
You will lead the end-to-end solution lifecycle. This lifecycle involves translating client requirements into production-ready AI-enabled architectures. These architectures use LLMs, cloud-native platforms (AWS), APIs, and scalable data systems.
Responsibilities
- Lead AI-driven discovery and requirements sessions to identify opportunities for intelligent decisioning, automation, and optimization
Translate client needs into end-to-end AI-enabled solutions using:
- LLMs and AI workflows
- APIs, microservices, and cloud-native architectures
Design and deliver scalable implementations on Bureau Composer, including:
- Real-time decisioning workflows
- Standard and custom solutions
- Conduct technical presentations, demos, and AI solution workshops for both executive and technical audiences
- Guide production deployment, integration, and troubleshooting of AI-powered solutions
- Partner with Sales and Product to identify expansion opportunities and increase incremental revenue
- Ensure agreement on security, compliance, and data governance frameworks (FCRA, FACTA, IAM, and data protection)
- Build reusable AI solution patterns, accelerators, and strategies
AI / ML (Primary Focus)
- Hands-on experience applying LLMs or ML models in real-world / production use cases
- Built or implemented AI-driven workflows, automation, or decisioning solutions
- Experience integrating AI into APIs, applications, or enterprise systems
- Prompt engineering, RAG architectures, or LLM orchestration frameworks
- Design AI-enabled business solutions (beyond POCs)
- Apply AI to decisioning, analytics, or customer workflows
Architecture & Cloud
- Experience designing API-first, microservices-based architectures
- Experience with AWS
- Lambda, API Gateway, Step Functions, S3
- Real-time and event-driven systems
- Data integration and distributed system design
Data & Integration
- SQL and data analysis for validation and troubleshooting
- Experience with data pipelines, ETL, and data integration patterns
- BI and reporting tools (Tableau, Power BI, Looker) with business insight delivery
Domain & Industry Knowledge
- Credit risk decisioning (originations, underwriting, line management)
- Fraud and identity decisioning systems
- Bureau data (credit attributes, tradelines, scores)
- Decision strategies (rules and model-driven decisioning)
- Bachelor's degree in computer science, Information Systems, or related field (or equivalent experience)
- 5+ years of experience in Solutions Engineering, AI Solutions, or Systems Architecture (client-facing)
- Demonstrated AI literacy with practical application (LLMs, automation workflows, enterprise AI use cases)
- Experience translating our requirements into scalable, production-ready solutions
- Simplify complex concepts Working knowledge of security practices (IAM, data protection, compliance frameworks)
- Experience in credit, fraud, identity, or risk analytics domains Experience with cloud platforms (AWS Azure/GCP)
- Experience with Python or SQL Experience supporting pre-sales or solution consulting engagements
Additional Information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. We list the base pay range for this position above. Within this range, work location and additional factors such as job-related skills, experience, and education determine individual pay. You will be also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Benefits/Perks
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
- Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
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