> Markdown version of [/jobs/ext/3683320-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3683320-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML ENGINEER - **Company:** Iquasar, LLC. - **Location:** Fort Rucker, AL, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cyber Security, Software Debugging, Intrusion Detection Systems, Machine Learning, Software Engineering, Unstructured Data, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Information Technology, Machine Learning Operations, Microservices - **Published:** October 11, 2026 - **Apply:** https://www.careerjet.com/job/usbee8b7b993738537c153586f3205116d/eaa ## About the Role * 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. ## Description * 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.