Payrate:$79-89/hr
Interviews will be conducted: (check all that apply)
By Phone
In person
Through Microsoft Teams
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.
II. CANDIDATE SKILLS AND QUALIFICATIONS
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.
Years Required/Preferred Experience
4 Required experience in AI/ML engineering or advanced data science
4 Required Proven track record of building and deploying production-grade autonomous agents.
4 Required Strong experience in context engineering
4 Required Deep experience with LangChain LangGraph CrewAI or AutoGPT.
4 Required Experience implementing RAG architectures using vector databases
4 Required Proficiency in Python and AI/ML libraries (OpenAI Hugging Face Azure AI)
4 Required Experience integrating LLMs via APIs Knowledge of AI governance model lifecycle management and evaluation
4 Required Experience 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 controls
4 Required Understanding of data privacy and handling of sensitive data (PII/PHI)
2 Preferred Experience building multi-agent or autonomous agentic workflows
2 Preferred Experience optimizing LLM cost token usage and performance
2 Preferred Familiarity with enterprise AI deployment patterns and scalability considerations
Payrate:$79-89/hr Interviews will be conducted: (check all that apply) By Phone In person Through Microsoft Teams 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 Soft...
Payrate:$79-89/hr
Interviews will be conducted: (check all that apply)
By Phone
In person
Through Microsoft Teams
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.
II. CANDIDATE SKILLS AND QUALIFICATIONS
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.
Years Required/Preferred Experience
4 Required experience in AI/ML engineering or advanced data science
4 Required Proven track record of building and deploying production-grade autonomous agents.
4 Required Strong experience in context engineering
4 Required Deep experience with LangChain LangGraph CrewAI or AutoGPT.
4 Required Experience implementing RAG architectures using vector databases
4 Required Proficiency in Python and AI/ML libraries (OpenAI Hugging Face Azure AI)
4 Required Experience integrating LLMs via APIs Knowledge of AI governance model lifecycle management and evaluation
4 Required Experience 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 controls
4 Required Understanding of data privacy and handling of sensitive data (PII/PHI)
2 Preferred Experience building multi-agent or autonomous agentic workflows
2 Preferred Experience optimizing LLM cost token usage and performance
2 Preferred Familiarity with enterprise AI deployment patterns and scalability considerations
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