OpenAM

Austin, Texas (Hybrid- Position is ONSITE/Hybrid at the location listed above (with some hybrid work determined by the hiring manager). The program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY.)

3 Months Contract Required

• 4 Years - Experience in AI/ML engineering or advanced data science
• 4 Years - Proven track record of building and deploying production-grade autonomous agents.
• 4 Years - Strong experience in context engineering
• 4 Years - Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
• 4 Years - Experience implementing RAG architectures using vector databases
• 4 Years - Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
• 4 Years - Experience integrating LLMs via APIs
• Knowledge of AI governance, model lifecycle management, and evaluation
• 4 Years - 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 Years - Understanding of data privacy and handling of sensitive data (PII/PHI)
• Preferred 2 Years - Experience building multi-agent or autonomous agentic workflows
• 2 Years - Experience optimizing LLM cost, token usage, and performance
• 2 Years - Familiarity with enterprise AI deployment patterns and scalability considerations

For applications and inquiries, contact: hirings@openkyber.com