Software Developer 2 (529601688)
Hybrid - On Site and Telework (Must live in Austin TX area)
I. DESCRIPTION OF SERVICES
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 |
Note: Expected Start Date 04/30/2026 and Expected End Date 08/31/2026. May be renewed up to 3 years.
This position is Hybrid - On Site and Telework. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA (Within 50-mile radius).
Position will be 3 days remote with 2 days (Tuesdays, Wednesdays) required to be on-site Austin, TX 78751.
Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM, excluding State holidays when the agency is closed. The worker may be required to work outside the normal business hours on weekends, evenings and holidays, as requested.