NEWPosted 13 hours ago

Job ID: JOB_ID_8041

Job Description:

  • Required 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) to provide LLMs with secure, standardized access to local and remote data sources
  • Experience implementing AI guardrails, content filtering, and safety controls
  • Understanding of data privacy and handling of sensitive data (PII/PHI)
  • Preferred 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

Special Requirements

Hybrid role in Austin, TX. Need TX locals. Experience implementing RAG architectures using vector databases. Experience implementing and extending the Model Context Protocol (MCP). Experience implementing AI guardrails, content filtering, and safety controls. Understanding of data privacy and handling of sensitive data (PII/PHI).

Compensation & Location

Salary: $120,000 – $180,000 per year

Location: Austin, TX

Recruiter / Company – Contact Information

Recruiter / Employer: Mindfore

Email: n@mindfore.com

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