AI/ML Engineer I

Quzara LLC; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

A leading technology service provider in the United States is seeking an AI/ML Engineer I to support the development and maintenance of AI-enabled applications. The role requires proficiency in Python and hands-on experience with AI services. You will work closely with internal teams and clients to troubleshoot and resolve system issues. Ideal candidates will have a Bachelor’s degree in a relevant field and familiarity with cloud environments. The position offers a collaborative work environment focused on innovation.

Qualifications

• 1–3 years of professional experience in AI/ML engineering, data science, or software development.
• Hands-on experience working with foundational models and smaller language models (SLMs).
• Understanding of LLMOps concepts including model monitoring and prompt iteration.

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.
• Support data preprocessing, transformation, and validation pipelines.

Skills

Python

Troubleshooting structured and unstructured data

Data preprocessing

Feature engineering

Model validation techniques

Hands-on experience with OpenAI or similar LLM APIs

Understanding of embeddings and tokenization

Education

Bachelor’s Degree in Computer Science, Engineering, Data Science, or related technical field

Tools

Azure

Hugging Face Transformers

Job description

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. The 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.

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.

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)
• U nderstanding 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

Quzara LLC is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring based on sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law.

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