Software Developer 2 - Austin, Texas (Hybrid)

Role: AI/ML Engineer


Location: Austin, Texas 78751 (Hybrid, 3 days remote with Onsite on Tues & Weds)


Duration: 4 months Contract with possibility to extension

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.

• Researching, designing, implementing and managing software programs.
• Testing and evaluating new programs.
• Working closely with other developers, UX designers, business and systems analysts.

Candidate Skills and Qualifications:


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