Software Developer 1670

Location Austin, TX Title Software Developer – Solicitation# 529601670 Level Description 4-7 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals.

A certain degree of creativity and latitude is required. Works under limited supervision with considerable latitude for the use of initiative and independent judgment. Job Description Researching, designing, implementing and managing software programs.

Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts. Additional Job Details and Special Considerations 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.

Position is ONSITE/Hybrid at the location listed above (with some hybrid work – determined by the hiring manager). The program will only accept LOCAL ONLY candidates for this position. Minimum Requirements 4+ years of experience in AI/ML engineering or advanced data science Proven track record of building and deploying production‑grade autonomous agents Strong experience in context engineering Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT Experience implementing RAG architectures using vector databases Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) Experience integrating LLMs via APIs; knowledge of AI governance, model lifecycle management, and evaluation Experience implementing and extending the Model Context Protocol (MCP) for secure, standardised access to local and remote data Experience implementing AI guardrails, content filtering, and safety controls Understanding of data privacy and handling of sensitive data (PII/PHI) Preferred: 2+ years of experience building multi‑agent or autonomous agentic workflows Preferred: Experience optimizing LLM cost, token usage, and performance Preferred: Familiarity with enterprise AI deployment patterns and scalability considerations References Three professional references required.

Each reference must include: name (required), title (optional), company name (required), phone number with area code (required), e‑mail address (optional), and professional relationship (optional). #J-18808-Ljbffr