AI/ML Engineer I

Quzara LLC

4h•Remote

About The Position

Quzara is seeking an AI/ML Engineer I to support the development, deployment, and operational support of AI-enabled applications serving federal and defense-adjacent customers. This role combines applied AI engineering with practical data science responsibilities to ensure reliable, secure, and high-performing AI systems in production environments. AI/ML Engineer will collaborate with internal development teams and government customers to troubleshoot issues, resolve defects, optimize model behavior, and improve data quality across AI-driven workflows. This is a hands-on engineering role focused on implementation, support, and continuous improvement not research or supervisory leadership.

Requirements

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
Ability to debug model outputs and trace issues across data, prompts, and system integrations
Eligible for U.S. Public Trust clearance.
U.S. Citizenship (Required)

Nice To Haves

Experience implementing RAG architecture and vector-based search systems
Familiarity with vector databases (e.g., FAISS, Pinecone, Azure AI Search)
Exposure to containerization (Docker) and CI/CD practices
Experience supporting AI systems in regulated or government environments
Understanding of model evaluation metrics and performance benchmarking

Responsibilities

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
Document technical implementations in accordance with secure development standards
Other duties as assigned