Job Hybrid Onsite - AI/ML Software Engineer is shared with you
Sheldon Fernandez
Public Sector experience in recent times. Candidates within DMV area or nearby areas will be preferred.
I’m working with the Maryland Judiciary – Administrative Office of the Courts (AOC) on an opportunity and wanted to connect regarding an AI/ML Software Engineer (LLMs / RAG / AI Systems) role.
Please review the details below and let me know if you’re interested. If so, share your resume, rate expectations, and availability.
Additional Details:
Client: Maryland Judiciary – AOC
Job ID: K23-0094-25L-17
Location: Remote (with occasional onsite in Annapolis, MD)
Address: 189 Harry S Truman Parkway, Annapolis, MD 21401
Duration: 5 years
Submission Requirements: Resume, LOC, 3 References
Interview Process: Panel interview (Teams/Zoom, camera required)
Work Model:
- Primarily remote
- Must be onsite for first 2 days
- Must be able to report onsite within 72 hours if required
About the Role:
This role focuses on building AI/ML-powered software systems to automate tasks, enhance internal workflows, and improve user-facing services. Work includes LLM-based applications, RAG systems, chatbots, and intelligent automation solutions.
Scope of the Project:
The focus is on designing and deploying AI-driven systems including document processing, knowledge retrieval, automation tools, and intelligent assistants, while working within constrained infrastructure and ensuring production-grade reliability.
Daily Duties / Responsibilities:
- Design and develop AI/ML systems (LLMs, RAG, automation tools)
- Build and integrate chatbots, agents, and AI-powered workflows
- Develop backend services, APIs, and data pipelines (Python-based)
- Collaborate on system architecture, workflows, and model selection
- Implement testing, evaluation, and performance optimization pipelines
- Deploy and manage solutions in hybrid cloud / containerized environments
- Optimize systems for accuracy, latency, and cost efficiency
- Document system design and continuously improve solutions
Required Skills (Ranked):
- 3+ years experience in AI/ML, data science, or applied AI development
- 3+ years experience in software engineering / backend development
- Strong proficiency in Python (APIs, data pipelines, backend systems)
- Experience with LLMs, embeddings, and retrieval systems (RAG)
- Experience with SQL / relational databases (PostgreSQL preferred)
- Experience with Docker, Git, and service-oriented architectures
Preferred Skills:
- Experience with multi-agent AI systems and workflow orchestration
- Experience with vector databases, graph databases (Neo4j), retrieval systems
- Experience fine-tuning language models or embedding models
- Experience integrating AI into production pipelines and mitigating hallucinations
- Familiarity with React or Teams Toolkit (chatbot UI development)
Environment and Tools:
- Python, APIs, Data Pipelines
- LLM frameworks, RAG systems
- PostgreSQL, SQL
- Docker, Git
- Hybrid cloud environments
Additional Skills:
- Strong problem-solving and system design ability
- Ability to work with ambiguous datasets and evolving requirements
- Strong collaboration across technical teams
- Ability to balance performance, cost, and scalability
This is not a basic ML role you’re expected to build production-grade AI systems, not just models or notebooks. If your experience is limited to experimentation or academic work, you’ll struggle here.
Thanks,
Sheldon Fernandez
she...@elegantsolutions.us
Elegant Enterprise-Wide Solutions, Inc
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