LLM Specialist

eSimplicity Inc.; Columbia, Northern (MD, KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) retirement benefits

Paid time off

Paid holidays

Life and disability insurance

Wellness programs

Job summary

eSimplicity Inc. is seeking an LLM Specialist to drive design, development, and deployment of advanced language-model capabilities across a cloud analytics ecosystem.

You will own architecture for fine-tuning, RAG, agentic frameworks, and domain adaptation, guiding prototypes and scalable pipelines with emphasis on governance and security. The role collaborates with engineering, product, and data teams to push safe, effective generative AI deployment and transformation for federal and government

Qualifications

• Bachelor's degree in a technical field with 5+ years in software/AI/ML.
• Experience designing, developing, and supporting LLM/Generative AI solutions.
• Experience with fine-tuning, prompt engineering, and evaluation methods.
• Experience designing RAG solutions and retrieval pipelines.
• Proficiency in Python and LLM frameworks; cloud deployment experience.

Responsibilities

• Design, develop, and operationalize advanced LLM capabilities across a cloud analytics ecosystem.
• Lead architecture and strategy for fine-tuning, RAG, and domain adaptation.
• Guide development of high-impact prototypes and scalable LLM pipelines.
• Ensure governance, security, and performance across model implementations.

Skills

Python

LangChain

LlamaIndex

Cloud platforms

MLOps

CI/CD

Security

Data governance

RAG pipelines

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems

Tools

LangChain

LlamaIndex

Vector databases

Embeddings

Databricks

Snowflake

Job description

Description

About Us:

eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow.

Responsibilities:

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation efforts around cutting-edge AI, owning the architecture and strategy for fine-tuning, retrieval-augmented generation (RAG), agentic frameworks, and domain-specific model adaptation. The specialist will guide the development of high-impact prototypes, oversee the evolution of scalable LLM pipelines, and ensure robust governance, security, and performance across all model implementations. Partnering with engineering, product, and data teams, this position provides technical leadership, evaluates emerging LLM technologies, sets best practices, and helps drive transformation through the practical, safe, and effective deployment of generative AI.

Requirements

• All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field, with 5+ years of relevant experience in software engineering, systems engineering, AI/ML, or a related discipline.
• Experience designing, developing, integrating, and supporting Large Language Model (LLM) and Generative AI solutions, including transformer-based architectures.
• Experience with LLM fine-tuning, prompt engineering, and model evaluation, including techniques such as LoRA, PEFT, or similar approaches.
• Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, including embeddings, vector databases, retrieval pipelines, and search optimization.
• Strong proficiency in Python and experience with LLM frameworks such as LangChain, LlamaIndex, or comparable technologies.
• Experience developing and deploying AI/ML solutions in cloud environments such as AWS, Azure, or GCP, including scalable model training, inference, and performance optimization.
• Knowledge of MLOps/LLMOps practices, including source control, CI/CD, automated testing, monitoring, model lifecycle management, security, and responsible AI practices.

Desired Qualifications:

• Experience implementing multi-agent or agentic AI systems for task automation and reasoning.
• Familiarity with LLM evaluation frameworks, structured benchmarking, or human-in-the-loop refinement methods (e.g., RLHF-style workflows).
• Expertise with advanced retrieval techniques such as hybrid search, graph retrieval, or long-context optimization.
• Experience optimizing model inference through quantization, model compression, or model distillation.
• Background integrating LLM services with large-scale analytics environments (e.g., Databricks, Snowflake, Spark).
• Strong skills in exploratory data analysis, feature engineering, and data modeling to support domain-specific LLM customization.
• Experience developing innovative prototypes or POCs that leverage state-of-the-art generative AI approaches.
• Exposure to emerging architectures such as mixture-of-experts models, long-context transformers, or experimental generative frameworks.

Working Environment

eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager.

Occasional travel for training and project meetings. It is estimated to be less than 5% per year.

Benefits:

eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms.

Reasonable Accommodation:

eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources.

Equal Employment Opportunity:

eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status.