eSimplicity

eSimplicity

Data Engineer II

Columbia, Maryland · Mid

No sponsorship$93k-$100kDetected 127 days ago
PythonSnowflakeDatabricksVector DatabasesAWSGCPAzureCloud PlatformsCI/CDMachine LearningSparkData AnalysisNLPLLMsRAGAgentic AILLMOpsMLOpsSystems EngineeringTest AutomationLeadership

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odds of building a lasting career here

47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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

  • $93k-$100k

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.
  • Reasonable Accommodation:
  • 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

This listing is sourced directly from eSimplicity's careers page and normalized into a canonical job model.