About the Role
**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.
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