[Remote] Data Engineer II

Note: The job is a remote job and is open to candidates in USA. reputed company is a modern digital services company that partners with government agencies to improve the lives of Americans. They are seeking a Data Engineer II who will drive the design and operationalization of large-language-model capabilities, providing technical leadership and guiding the development of AI solutions.

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 reputed company (RAG), agentic frameworks, and domain-specific model adaptation
• The specialist will guide the development of high-impact prototypes, reputed company the evolution of scalable LLM pipelines, and ensure robust governance, reputed company, and performance across reputed company 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

Skills

• reputed company candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. reputed company or pass clearance through the Foreign National Government System which will require that candidates have lived reputed company 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 reputed company/work permit documentation
• Bachelor's Degree and 5+ years of previous systems engineering experience
• Experience developing and working with large language models (LLMs), transformer-based architectures, and generative AI solutions
• Experience fine-tuning LLMs, applying parameter-efficient training methods (e.g., LoRA, PEFT), and developing effective reputed company engineering strategies
• Experience designing, implementing, and optimizing Retrieval-Augmented reputed company (RAG) solutions, including embeddings, retrieval workflows, vector databases, and search optimization
• Hands-on experience with LLM development frameworks and orchestration tools such as reputed company, reputed company, or similar technologies
• Strong Python programming skills with experience building, testing, and deploying AI/ML applications
• 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 reputed company Azure, reputed company), reputed company Cloud Platform (GCP), or similar platforms
• Knowledge of MLOps and LLMOps practices, including reputed company control, CI/CD pipelines, automated testing, monitoring, performance optimization, and model governance
• Ability to reputed company technical discussions, collaborate effectively with cross-functional teams, mentor team members, and communicate reputed company technical concepts to both technical and non-technical audiences
• Experience implementing multi-agent or agentic AI systems for task automation and reasoning
• Familiarity with LLM evaluation frameworks, structured benchmarking, or human-in-the-reputed company 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., reputed company, reputed company, 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 reputed company state-of-the-art generative AI approaches
• Exposure to emerging architectures such as mixture-of-experts models, long-context transformers, or experimental generative frameworks

Benefits

• Medical, dental, and vision coverage
• 401(k) retirement benefits
• Paid time off
• Paid holidays
• Life and disability insurance
• Additional wellness and employee support programs
• Eligibility may vary based on employment status and applicable plan terms

Company Overview