Remote Artificial Intelligence & Machine Learning Engineer Meetings in Annapolis, MD

Youll work on initiatives such as chatbot development intelligent document processing reporting enhancements and building AI-driven tools for knowledge retrieval transcription translation redaction and more. The ideal candidate enjoys solving complex problems and turning emerging technologies into scalable production-ready systems.

What Youll Do

• Design and develop software solutions that incorporate AI/ML to improve efficiency and user experience
• Collaborate with cross-functional teams to define system architecture workflows and technical approaches
• Evaluate and implement appropriate solutions including both LLM-based and traditional methods
• Build and maintain data pipelines and AI-enabled applications
• Develop and execute testing strategies including unit and integration testing for AI workflows
• Optimize systems for performance scalability and cost efficiency
• Support deployment of applications in cloud and containerized environments
• Document system design workflows and technical decisions

What Were Looking For

• Bachelors degree in Computer Science Engineering Data Science Mathematics or a related field
• 5 years of experience in AI/ML data science or applied machine learning
• 5 years of experience in software development system design or backend/web applications
• Experience working with modern AI tools including large language models (LLMs) APIs or locally deployed models
• Strong programming experience in Python and building scalable backend services APIs or data pipelines
• Solid understanding of SQL and relational databases (e.g. PostgreSQL)
• Experience with Git containerization (Docker) and cloud-based or distributed environments
• Prior experience supporting government or public sector projects required
• Must be authorized to work in the U.S. without current or future sponsorship

Nice to Have

• Experience with RAG architectures embeddings vector search or graph-based retrieval (e.g. Neo4j)
• Exposure to multi-agent or task-driven AI systems and workflow orchestration
• Familiarity with validating AI outputs reducing hallucinations and deploying AI into production environments
• Experience contributing to open-source projects
• Knowledge of hybrid cloud environments asynchronous processing or distributed systems
• Exposure to frontend tools such as React or chatbot frameworks (e.g. Microsoft Teams integrations)
• Familiarity with classical NLP techniques in addition to LLM-based approaches