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AI/ML Engineer

Austin1 LLCPlano, TX🇺🇸United StatesPosted Sep 29, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Plano, TX, United States
Posted
Yesterday
MicroservicesAzureDatabricksGPTGenerative AIGitLLMPython

Job Description

Job Title: AI / ML Engineer

Location: Plano, TX

Duration: Full Time role 

Job Summary:

  • We are seeking an AI ML Engineer to design, develop, and deploy Generative AI applications, with a focus on Retrieval-Augmented Generation (RAG) and agentic workflows.
  • The ideal candidate will have hands-on experience building applications using LLMs, vector databases, and agent harnesses, along with experience in Azure stack.
  • This role involves developing scalable, production-grade AI solutions that integrate enterprise data with advanced reasoning and automation capabilities.

 Responsibilities:

  • Design and build agentic applications using Lang chain or similar, integrating enterprise data sources (Azure Databricks, documents, APIs)
  • Build and optimize RAG vector databases for use by agents using tools like Azure AI Search, or similar
  • Integrate LLMs (Azure OpenAI, GPT models) into enterprise applications with proper prompt engineering and optimization
  • Implement evaluation, monitoring, and guardrails for AI systems (accuracy, bias, hallucination control)
  • Collaborate with data engineers and application teams to integrate AI solutions into production systems
  • Optimize application performance, latency, and cost for large-scale deployments Communicate insights clearly to both technical and non-technical stakeholders

 Minimum Qualifications

  • 2+ years of experience in AI/ML Engineering, Data Science, or related field
  • Experience using data from Azure Databricks or similar relational databases
  • Strong hands-on experience with Python (core development language), Git, GitHub; LLM frameworks especially Lang chain; RAG architectures and vector search concepts
  • Experience with Azure AI ecosystem, including Azure OpenAI models and Azure AI Search
  • Understanding of AI ML concepts, LLMs, vector databases, RAG, agents
  • Familiarity with APIs, microservices, MCP and scalable system design
  • Strong communication skills
  •  

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