AIML ENGINEER

IQUASAR LLC; Ozark (AL); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work from home options

Job summary

IQUASAR LLC is seeking an AI/ML Engineer to join its engineering team, focusing on cloud-based applications in DoD platform environments. The role is hybrid and full-time with a Public Trust/US Citizen clearance requirement.

You will design, train, deploy, and maintain enterprise AI/ML models, working across data preparation, model evaluation, and safety controls, to deliver reliable, scalable government solutions.

Qualifications

• 5+ years in IT security, data science, software engineering, or related AI/ML deployment in enterprise or government
• Experience building, training and deploying ML models in production
• Experience collaborating with data scientists, software developers, and domain experts

Responsibilities

• Design, develop, train, test, deploy, and maintain AI/ML models for enterprise-scale and government applications.
• Operationalize AI/ML solutions ensuring reliability, scalability, and maintainability.
• Collect, clean, transform, and analyze data for AI/ML development and evaluation.
• Evaluate AI technologies and architectures for complex federal government and cybersecurity use cases.
• Develop Generative AI/LLM solutions including prompts, classifiers, and safety controls.
• Evaluate outputs for accuracy, grounding, and bias before VA adoption.
• Design evaluation methodologies and benchmark model outputs.

Skills

AI/ML experience

Cross-functional collaboration

Production AI systems

Education

Master's or PhD in AI/CS

Tools

ReAct framework

Self-reflection techniques

Job description

One of our clients is seeking an AI/ML Engineer to join their Engineering team responsible for the development, maintenance, and reliability of cloud-based applications on DoD platform environments.

Position: AI/ML Engineer Location: Hybrid Position Type: Full Time Clearance: Public Trust/US Citizen

Job responsibilities

• Design, develop, train, test, deploy, and maintain AI and machine learning models for enterprise-scale and Government applications.
• Develop and operationalize production of AI/ML solutions, ensuring models and supporting systems are reliable, scalable, maintainable, and appropriate for VA mission requirements.
• Collect, clean, transform, analyze, and prepare structured and unstructured data for AI/ML model development, training, testing, and evaluation.
• Evaluate potential AI technologies, models, tools, frameworks, and architectures and recommend solutions appropriate for complex Federal Government and cybersecurity use cases.
• Apply AI and machine learning techniques to solve real-world business, cybersecurity, engineering, analytics, and operational problems across a large enterprise environment.
• Develop and support Generative AI and Large Language Model (LLM) solutions, including model configuration, system prompts, classifiers, fine-tuning, content moderation, safety filters, and other model controls.
• Evaluate AI-generated outputs for accuracy, factuality, grounding, reliability, bias, helpfulness, honesty, and overall model performance before outputs are incorporated into VA efforts.
• Design and execute AI/ML model evaluation and validation methodologies, including benchmark testing and comparative evaluation of model outputs.

Minimum qualifications

• Minimum of 5 years of experience in relevant fields including IT security, data science, software engineering, design, development, or deployment of AI or machine learning systems in enterprise or Government environments
• Experience working on data science, machine learning, or AI projects, either through internships, research projects, or professional roles.
• Experience building, training, and deploying machine learning models and AI systems in a production environment.
• Experience collaborating with cross-functional teams, including data scientists, software developers, and domain experts.
• Experience in data collection, cleaning, and analysis techniques to prepare datasets for AI modeling.
• Experience applying AI solutions to real-world problems in various enterprises and domains such as large corporations and Government agencies similar in size/scope to GSA, IRS, DoD or VA

Preferred qualifications

• Master's or PhD in AI, Computer Science, or related technical field.
• Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
• Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
• Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
• Track record of troubleshooting live, high-traffic systems during critical windows.

Flexible work from home options available.