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AI engineer

Job in Sunnyvale, Dallas County, Texas, 75182, USA
Listing for: Quantum Technologies. LLC
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
  • Lead the end-to-end deployment of GenAI applications for customers—from discovery to delivery.
  • Architect and implement robust, scalable solutions using Python, Langchain/Lang Graph, and LLM frameworks.
  • Act as a trusted technical advisor to customers, understanding their needs and crafting tailored AI solutions.
  • Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities.
  • Write clean, maintainable code and build reusable modules to streamline future deployments.
  • Operate across cloud platforms (AWS, Azure, GCP) to ensure secure, performant infrastructure.
  • Continuously improve deployment tools, pipelines, and methodologies to reduce time-to-value.
Required Qualifications
  • 10+ years of experience in software engineering or solutions engineering , ideally in a customer-facing capacity.
  • Proven expertise in
    Python
    ,
    Langchain
    ,
    Lang Graph
    , and
    SQL
    .
  • Deep experience with engineering architecture
    , including APIs, microservices, and event-driven systems
  • Demonstrated success in
    designing and deploying GenAI applications
    into production environments
  • Strong proficiency with
    cloud services
    such as
    AWS
    ,
    GCP
    , and/or
    Azure
    .
  • Excellent communication skills, with the ability to translate technical complexity to customer-facing narratives.
  • Comfortable working autonomously and managing multiple deployment tracks in parallel.
Preferred Qualifications
  • Familiarity with CI/CD, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Docker, Kubernetes).
  • Background in LLM fine-tuning, retrieval-augmented generation (RAG), or AI /ML operations.
  • Previous experience in a startup, consulting, or fast-paced customer-obsessed environment.

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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