eSimplicity
Data Engineer II
Columbia, Maryland · Mid
No sponsorship$93k-$100kDetected 34 days ago
PythonSnowflakeDatabricksVector DatabasesAWSGCPAzureCloud PlatformsCI/CDMachine LearningSparkData AnalysisNLPLLMsRAGAgentic AILLMOpsMLOpsSystems EngineeringTest AutomationLeadership
About the role
- 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.
- Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager.
- Occasional travel for training and project meetings.
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.
- 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
- Bachelor's Degree and 5+ years of previous systems engineering experience
- Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions, including embeddings, retrieval workflows, vector databases, and search optimization.
- Hands-on experience with LLM development frameworks and orchestration tools such as LangChain, LlamaIndex, or similar technologies.
- Experience working with distributed computing environments, GPU-accelerated workloads, or large-scale model training and inference.
- Experience designing, deploying, and supporting AI/ML solutions in cloud environments such as Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), or similar platforms.
- Knowledge of MLOps and LLMOps practices, including source control, CI/CD pipelines, automated testing, monitoring, performance optimization, and model governance.
- 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).
- Experience optimizing model inference through quantization, model compression, or model distillation.
Compensation
- 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.
Company info
- 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.
Equal 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.
- 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.
Visa & Work Authorization
- 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
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This listing is sourced directly from eSimplicity's careers page and normalized into a canonical job model.