AI/ML Engineer I

Quzara LLC is seeking an AI/ML Engineer I to develop, deploy, and support secure AI-enabled applications for federal and defense-adjacent customers. The role focuses on troubleshooting, defect resolution, data quality, LLM integrations, RAG pipelines, model evaluation, and operational support for production AI systems.

What you'll do:

• Develop, integrate, and maintain AI/ML components within secure, production-grade applications
• Work directly with customers and internal engineering teams to troubleshoot system behavior and resolve defects
• Perform bug fixes, root cause analysis, and performance optimization across AI-enabled services
• Diagnosing and remediate data quality issues affecting model performance and system outputs
• Support data preprocessing, transformation, validation, and feature engineering pipelines
• Implement and optimize Large Language Model (LLM) integrations in secure cloud environments
• Assist in prompt engineering, response evaluation, and model tuning
• Support retrieval-augmented generation (RAG) pipelines and embedding workflows
• Participate in LLMOps practices including monitoring, logging, versioning, and performance tracking of deployed models
• Evaluate model outputs for consistency, hallucination risk, bias, and reliability
• Integrate AI services via REST APIs within backend systems
• Contribute to observability, telemetry, and audit logging aligned with compliance requirements

What they're looking for:

• U.S. Citizenship (Required)
• * Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
• * 1–3 years of professional experience in AI/ML engineering, data science, or software development
• * Strong proficiency in Python
• * Experience troubleshooting structured and unstructured data issues
• * Familiarity with data preprocessing, feature engineering, and model validation techniques
• * Hands-on experience working with OpenAI or similar LLM APIs
• * Familiarity with foundational models and smaller language models (SLMs)
• * Experience with transformer-based architecture (e.g., Hugging Face Transformers)
• * Understanding of embeddings, tokenization, fine-tuning concepts, and inference workflows
• * Experience in integrating AI services into cloud environments (Azure preferred)
• * Understanding of LLMOps concepts including model monitoring, logging, prompt iteration, and deployment workflows

Benefits:

• This full-time role ... requires flexibility to work remotely or on-site (if applicable per client RTO policies).