Remote Artificial Intelligence & Machine Learning Engineer - Meetings in Annapolis, MD
Remote
Full Time
MD-AI/MLSWE-Remote
Experienced
This job is remote but the first 2-5 days will be onsite in Annapolis, MD. There will be onsite meetings from time to time so candidates must be within driving distance of Annapolis, MD (21401)
Candidates must be authorized to work in the U.S. without current or future sponsorship.
This is a 5 year engagement with possible extensions.
We’re looking for an AI/ML Software Engineer to design and build intelligent solutions that automate targeted tasks, support internal teams, and enhance user-facing applications. This role focuses on applying practical AI and machine learning techniques to real-world workflows, including automation, data processing, and advanced language model applications.
Candidates must be authorized to work in the U.S. without current or future sponsorship.
This is a 5 year engagement with possible extensions.
We’re looking for an AI/ML Software Engineer to design and build intelligent solutions that automate targeted tasks, support internal teams, and enhance user-facing applications. This role focuses on applying practical AI and machine learning techniques to real-world workflows, including automation, data processing, and advanced language model applications.
You’ll 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 You’ll 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 We’re Looking For
- Bachelor’s 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
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