Job Purpose:
The Department of Information Resources (DIR) requires the services of 3 Software Developer 2, hereafter referred to as Worker, who meets the general qualification of Software Developer 2 and the specifications outlined in this document for the above-named customer.
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
Minimum Requirements:Candidates that do not meet or exceed the
minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.YearsRequired/PreferredExperience4Requiredexperience in AI/ML engineering or advanced data science4RequiredProven track record of building and deploying production-grade autonomous agents.4RequiredStrong experience in context engineering4RequiredDeep experience with LangChain, LangGraph, CrewAI, or AutoGPT.4RequiredExperience implementing RAG architectures using vector databases4RequiredProficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)4RequiredExperience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation4RequiredExperience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls4RequiredUnderstanding of data privacy and handling of sensitive data (PII/PHI)2PreferredExperience building multi-agent or autonomous agentic workflows2PreferredExperience optimizing LLM cost, token usage, and performance2PreferredFamiliarity with enterprise AI deployment patterns and scalability considerations