AI/ML Engineer – RAG Pipeline Development

About the role

SimVentions is 100% employee-owned and proudly ranked among Virginia’s Best Places to Work year after year! We are seeking a Junior/Mid-Level AI/ML Engineer specializing in Retrieval-Augmented Generation (RAG) to support the development of AI capabilities within an emerging MLOps platform. The engineer will help architect and implement reusable RAG pipelines that transform domain-specific documents and knowledge repositories into searchable, AI-enabled resources. The role will involve developing document ingestion and processing workflows, integrating embedding models and vector databases, implementing retrieval and LLM-based generation capabilities, and evaluating the quality and reliability of AI-generated responses. The engineer will work alongside software developers, AI/ML engineers, and systems architects to integrate these capabilities into a scalable, secure platform supporting multiple customer projects. Travel Minimal CONUS and local travel required. Clearance: An interim Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance.

Requirements

• Hands on experience with software development languages like GO, Python, Javascript, and Vue.js
• Understanding of data storage and retrieval utilizing databases, S3 storage containers and/or VAST storage environments
• AI/ML Knowledge: Entry/Foundational knowledge of ML concepts, intelligent automation capabilities, and the ML model lifecycle (training, validation, deployment, monitoring)
• Understanding on the utilization of CPU and GPU for Machine Learning and Model Training
• Experience with integrating open source, commercial, and internally developed toolsets using Software Development Kits (SDKs) and Application Programming Interfaces (APIs)
• US Citizenship is required to obtain a clearance.

Responsibilities

• The software developer will work within the current development environment and toolsets to expand and enhance automation capabilities within the Machine Learning Operations (MLOPS) ecosystem.
• In addition, the software developer will work to automate model training processes