Artificial Intelligence & Cloud Engineer

• Architect and implement scalable multi-agent AI systems.
• Develop advanced routing and hierarchical multi-agent architectures.
• Build, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines.
• Develop semantic search and information retrieval systems.
• Design data preprocessing workflows, chunking strategies, and vector database infrastructure.
• Deploy, secure, monitor, and maintain AI applications and microservices in cloud environments.
• Integrate AI capabilities into user-facing products.
• Collaborate with data scientists, UI/UX designers, and subject matter experts.
• Establish security best practices for large language model implementations.
• Protect sensitive information through secure data handling and privacy controls.
• Implement AI model guardrails and other AI security measures.
• Develop robust RESTful APIs supporting AI and cloud applications.
• Support Linux-based development and cloud environments.
• Apply text analytics, prompt engineering, data normalization, and data-cleaning techniques.
• Support cybersecurity risk management and system hardening activities.
• Evaluate and adopt emerging AI technologies and engineering practices.

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• 7+ years of professional software engineering experience.
• At least 2 years of production experience in AI, ML, or NLP development.
• Experience building multi-agent systems using LangGraph, AutoGen, or equivalent frameworks.
• Strong understanding of RAG architecture, vector databases, embeddings, and information retrieval.
• Strong programming skills in Python or a similar programming language.
• Experience developing RESTful APIs.
• Hands-on experience deploying and managing AWS or OCI cloud services.
• Proficiency with Linux operating systems and command-line interfaces.
• Expertise in text analytics and prompt engineering.
• Experience with data normalization and cleaning.
• Active Secret security clearance.
• Current CompTIA Security+ certification or higher.
• Knowledge of AI security practices, model guardrails, and secure data handling.
• Experience working in Agile and cross-functional development environments.
• Strong problem-solving skills and ability to learn emerging AI technologies quickly.

Preferred Qualifications

• Experience with NAVSEA Cyber RMF processes and system security hardening.
• Familiarity with Rust, Go, or JavaScript.
• Industry-recognized cloud certifications, such as AWS Certified Machine Learning - Specialty or OCI AI credentials.
• Experience with open-source LLM evaluation and observability frameworks.