AI/ML Engineer (Scenario Generation, Ontology & RAG)

PeopleTec is currently seeking an AI/ML Engineer (Scenario Generation, Ontology & RAG) to support our Huntsville, AL location.

PeopleTec is seeking an AI/ML Engineer in Huntsville, AL, to develop language-model applications for flight-simulator training, including scenario generation and doctrine question-and-answer capabilities. You will work with software engineers and an H-1 aviation subject matter expert to prepare training data, build retrieval-based applications, fine-tune models, and evaluate their performance for deployment. 

• Build AI applications that generate training scenarios and answer questions using approved reference documents. 
• Prepare training data and fine-tune language models using domain material and instructor feedback. 
• Validate generated scenarios against training requirements and test model accuracy, response time, and safety. 
• Work with the software team to integrate, release, and maintain models and supporting data. 
• As capabilities expand, develop trainee assessment, adaptive difficulty, and after-action review features. 

Required Skills/Experience:

• Preferred experience range: 5–8 years of machine learning engineering experience, including delivery of language-model applications that retrieve information from documents, produce structured outputs, and use software tools. Demonstrated technical ability will be considered regardless of total years of experience. 
• Hands-on experience preparing training data and fine-tuning language models, including parameter-efficient methods and preference optimization using human feedback. 
• Strong Python skills and experience deploying models on local, CUDA-capable GPU systems. 
• Experience evaluating model performance and tracking experiments, model versions, and training-data history. 
• Experience building and evaluating retrieval-augmented generation (RAG) systems that produce reliable, expected results. 
• Ability to travel occasionally for test events.
• Eligible for a Tier 3 background investigation and access to CUI; must maintain eligibility throughout employment. 
• Must be a U.S. Citizen

• Bachelor’s degree in computer science, mathematics, engineering, or a related field preferred. Equivalent relevant professional or military experience may substitute for a degree. 

• Experience with knowledge graphs and ontologies, including OWL, RDF, or SPARQL. 
• Experience integrating speech recognition and text-to-speech or working with audio pipelines for noisy environments. 
• Experience with schema-constrained generation or production model-serving adapters. 
• Experience in aviation, tactical training, or simulation.