Data Engineer II

eSimplicity

LLM Specialist developing advanced AI solutions and innovative prototypes for government agencies at eSimplicity. Driving operationalization of large-language models with a focus on cloud-based systems.

Posted 6/19/2026full-timeRemote • Maryland • 🇺🇸 United StatesMid-LevelSenior💰 $93,300 - $100,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem.
Lead innovation efforts around cutting-edge AI, owning the architecture and strategy for fine-tuning and Retrieval-Augmented Generation (RAG).
Guide the development of high-impact prototypes and oversee the evolution of scalable LLM pipelines.
Ensure robust governance, security, and performance across all model implementations.
Provide technical leadership, evaluate emerging LLM technologies, set best practices, and help drive transformation through effective deployment of generative AI.

Requirements

What you’ll need

All candidates must pass public trust clearance through the U.S. Federal Government.
U.S. citizens or pass clearance through the Foreign National Government System.
Bachelor’s Degree and 5+ years of previous systems engineering experience
Experience developing and working with large language models (LLMs)
Experience fine-tuning LLMs, applying parameter-efficient training methods and developing effective prompt engineering strategies.
Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions.
Hands-on experience with LLM development frameworks and orchestration tools such as LangChain, LlamaIndex or similar technologies.
Strong Python programming skills with experience building, testing, and deploying AI/ML applications.
Experience working with distributed computing environments or large-scale model training and inference.
Experience designing, deploying, and supporting AI/ML solutions in cloud environments such as Microsoft Azure, AWS, GCP.
Knowledge of MLOps and LLMOps practices.

Benefits

Comp & perks

medical, dental, and vision coverage
401(k) retirement benefits
paid time off
paid holidays
life and disability insurance
additional wellness and employee support programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

large language modelsfine-tuningRetrieval-Augmented Generationprompt engineeringPythonAI/ML applicationsdistributed computingMLOpsLLMOpscloud environments

Soft Skills

technical leadershipinnovationgovernancesecurityperformance optimizationbest practicestransformation

Certifications

Bachelor’s Degreepublic trust clearance