Job Type

Full-time

Description

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.

Salary Description

$104,900 - $145,000