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AI Engineer

QUANTUM TECHNOLOGIES LLCPlano, TX🇺🇸United StatesPosted 31 Aug 2026

Quick Overview

Salary
$78/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Plano, TX, United States
Posted
Yesterday
DockerAWSMLOpsMachine LearningNLPSnowflakeAzureDatabricksGenerative AIGitGoogle CloudKubernetesLLMPythonRESTTerraform

Job Description

Job Title: AI Engineer

Location: Plano, TX

Duration: 6 Months + Extension

Bill Rate: $78/hour

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Summary:

Key Responsibilities:

  • Design and develop AI/ML and Generative AI applications using Python.
  • Build LLM-powered applications, RAG pipelines, AI agents, and intelligent automation solutions.
  • Work with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI and integrate foundation models into enterprise applications.
  • Develop prompt engineering, embeddings, vector search, and retrieval solutions.
  • Build and integrate APIs and AI services into scalable applications.
  • Implement model evaluation, monitoring, security, and responsible AI practices.
  • Deploy AI solutions using Docker, Kubernetes, CI/CD, and cloud platforms.
  • Collaborate with data engineers, software engineers, architects, and business stakeholders.
  • Troubleshoot and optimize AI applications for performance, scalability, and reliability.
Required Skills
  • 5+ years of experience in AI/ML Engineering, Software Engineering, or related field.
  • Strong Python programming skills.
  • Hands-on experience with Generative AI, LLMs, RAG, embeddings, and vector databases.
  • Experience with LangChain, LlamaIndex, or similar AI frameworks.
  • Experience with OpenAI/Azure OpenAI, AWS Bedrock, or Vertex AI.
  • Strong understanding of Machine Learning and NLP concepts.
  • Experience building and deploying production AI applications.
  • Knowledge of REST APIs, Git, Docker, and CI/CD.
  • Experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.
Preferred Skills
  • Experience with Agentic AI / AI Agents.
  • Experience with LangGraph or similar agent frameworks.
  • MLOps/LLMOps experience.
  • Experience with Databricks, Snowflake, or cloud data platforms.
  • Kubernetes and Terraform experience.
  • Experience implementing enterprise AI governance and security.
    Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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