AI/ML Software Engineer
About The Position
Join MATRIX SYSTEMS & TECHNOLOGIES INC as an AI/ML Software Engineer and be at the forefront of innovative technology solutions. In this exciting role, you will develop cutting-edge AI and machine learning applications that drive efficiency and enhance user experience. The AI/ML Software Engineer will build software tools that incorporate AI/ML techniques to automate narrowly defined tasks with high accuracy, assist internal users with their job functions, and improve the experience external users have when interacting with the Maryland Judiciary. This includes, but is not limited to, RPA work, building or refining chatbots, incorporating AI/ML into reporting tools, building llm agents for knowledge retrieval, deep research, translation, transcription, redaction, document analysis, document generation, agentic coding, and data processing.
Requirements
- Bachelor of Science in Engineering, Computer Science, Data Science, or Mathematics, or a related field (as determined by the AOC).
Nice To Haves
- At least three (3) years’ experience in data science, machine learning, or applied AI development.
- At least three (3) years’ experience in software engineering, architecture, or web development.
Responsibilities
- System Design & Collaboration: Work within established constraints regarding infrastructure, programming languages, and model selection.
- Contribute to technical decision-making related to data processing, retrieval strategies, and system integration.
- Collaborate with team members to define agent architectures, workflows, and system design decisions.
- Evaluate and select appropriate approaches for given tasks, including determining when to use LLM-based versus non-LLM techniques.
- Designing and building software systems that integrate AI/ML techniques to automate tasks, assist internal users, and improve user-facing services.
- Testing, Evaluation, and Quality Assurance: Assist in the design and implementation of testing and evaluation pipelines for AI/ML systems.
- Develop unit and integration tests for AI-enabled workflows and data pipelines.
- Generate and utilize synthetic data to support evaluation and benchmarking efforts.
- Contribute to improving system performance, including accuracy, latency, and cost efficiency.
Benefits
- Flexible work from home options available.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
