Software Developer 2

Austin, Texas 78751 (with some hybrid work – determined by the hiring manager).start 05/04/2026 and are expected to complete by 08/31/2026IN PERSON INTERVIEWLevel Description4-7 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 DescriptionResearching, 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 considerationsAI 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 efficiencyMinimum 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