AI/ML Engineer
$108,400–$185,100 year
HybridTraders Hill, Georgia, United States
Job Summary
Design, develop, and maintain Retrieval-Augmented Generation (RAG) pipelines covering document ingestion, embedding generation, vector storage, and LLM orchestration. Build and optimize LLM-powered applications for classification, summarization, Q&A, knowledge retrieval, and workflow automation while applying core software engineering and ML fundamentals to ensure performance, reliability, and security. Implement and tune traditional ML models including regression, clustering, and feature engineering, and integrate cloud-native services on Azure or AWS with containerized workloads using Docker. Collaborate closely with cross-functional teams to translate requirements into scalable solutions for defense, national security, and public safety clients. Requires active TS/SCI clearance, Python proficiency, and experience with PyTorch, TensorFlow, or HuggingFace.
Required Qualifications
- Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks
- Strong programming skills in Python
- Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace)
- Solid understanding of algorithms, data structures, APIs, and distributed systems
- Experience with cloud platforms (AWS or Azure) and containerization (Docker)
- Ability to work across structured and unstructured datasets
- Active TS/SCI Clearance
Desired Qualifications
- Familiarity with Java/C++
- Experience building production-ready AI/ML systems, including CI/CD or MLOps frameworks (MLFlow/BentoML)
- Understanding of data governance, security constraints, and model risk management
- Ability to communicate complex technical concepts to non-technical stakeholders
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