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AI/ML Software Engineer

Tri-Force Consulting Services, Inc., Annapolis, MD, United States


Contract | Tri-Force Consulting Services, Inc. | United States
Posted On 04/22/2026
Job Information

IT Services
5+ years Work Experience
City Annapolis
State/Province Maryland
21401
Job Description

Title

AI/ML Software Engineer
Location

Annapolis, MD 21401 (Remote role; onsite required for first 2 days)
Duration

12 Months
Summary

The AOC is seeking proposals from prospective Offerors to provide one (1) AI/ML Software Engineer.
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.
Responsibilities include, but are 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.
Offeror Resource Qualifications

Bachelor of Science in Engineering, Computer Science, Data Science, Mathematics, or a related field (as determined by the AOC).
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.
Scope of Work

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.
Design and build 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.
Deployment & Operations

Support deployment of AI/ML applications within a hybrid cloud environment.
Work with containerized applications to ensure reliable deployment and updates.
Optimize systems for environments with limited computational resources, including minimal GPU availability.
General Responsibilities

Deliver production‑grade systems aligned with defined requirements, while supporting iterative improvement of evolving tools.
Document system designs, workflows, and technical decisions as required.
Stay informed on relevant advancements in AI/ML and apply them where appropriate within project constraints.

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