AIML Engineer

Summary:

The client is looking for an experienced AI/ML Software Engineer to 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.

Description: Designing and building software systems that integrate AI/ML techniques to automate tasks assist internal users and improve user-facing services within hybrid cloud environments.

Position Responsibilities:

• 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.
• 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.
• Support deployment of AI/ML applications within a hybrid cloud environment working with containerized applications.
• Optimize systems for environments with limited computational resources including minimal GPU availability.
• Deliver production-grade systems aligned with defined requirements documenting system designs workflows and technical decisions.

Remote conditions:

• Initial 2 days onsite

Experience required:

Required Qualifications:

• Bachelor of Science in Engineering Computer Science Data Science or Mathematics or a related field.
• 3 years of experience in data science machine learning or applied AI development.
• 3 years of experience in software engineering architecture or web development.

Desired Qualifications:

• Experience with SQL and relational database systems (e.g. PostgreSQL).
• Experience fine-tuning small language models or embedding models.
• Experience with graph databases or graph extensions (e.g. Neo4j Apache AGE).
• Experience designing and implementing multi-agent or task-oriented AI systems.
• Experience with embedding models vector similarity re-ranking and graph retrieval techniques in RAG systems.
• Experience with version control systems (e.g. Git) and containerization technologies (e.g. Docker) in service-oriented architectures.
• Experience collaborating with large language models (LLMs) including both API-based integration and local deployment.
• Demonstrated proficiency in Python including the ability to develop production-grade backend services APIs middleware and data pipelines.