AI/ML engineering / Data Scientist (Need TX locals)

Mindfore Technologies; Austin (TX); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading tech firm is looking for an AI/ML Engineer or Data Scientist in Austin, TX. The ideal candidate should have over 4 years of experience in AI/ML engineering, proven success in building production-grade autonomous agents, and proficiency in Python along with AI/ML libraries. Responsibilities include implementing RAG architectures using vector databases and integrating LLMs via APIs while ensuring data privacy and safety controls. The position offers a hybrid work arrangement.

Qualifications

• 4+ years 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.

Responsibilities

• Implement RAG architectures using vector databases.
• Integrate LLMs via APIs with knowledge of AI governance.
• Handle sensitive data while following data privacy regulations.

Skills

AI/ML engineering

Data science

Python

AI/ML libraries

Experience with LangChain, LangGraph, CrewAI, or AutoGPT

RAG architectures

Tools

OpenAI

Hugging Face

Azure AI

Job description

Job Title: AI/ML engineering / Data Scientist

Location: Austin, TX – Hybrid

Job Description

• 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