AI/ML Engineer (AWS)

Valorem Reply, part of the Reply Network, is a leader in Microsoft-based IT solutions. We support and advise our Giant Tech customers in all aspects of Microsoft, and other industry-leading technologies. From designing and developing custom solutions and low-code solutions, to implementing and managing them seamlessly, Valorem Reply helps customers unlock the potential of their IT infrastructure to enable their sales and partner initiatives. As a Senior Developer, you will play a key role in building and evolving ML/AI applications and services on AWS. You will work closely with product, architecture, and engineering teams to deliver reliable, high-quality solutions that meet business and customer needs. You should be comfortable contributing across the software development lifecycle, from design and implementation through deployment, support, and continuous improvement. About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $120,000-$155,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also consider prior experience, relevant skills, education, training, certifications, and other job-related qualifications. If you have questions regarding compensation, the talent acquisition team can provide details during the interview process. Reply is an equal opportunity employer. We are committed to providing equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you need assistance or reasonable accommodation due to a disability during the application or recruiting process, email [email protected]. Visit our website at www.reply.com to learn more about our open roles Responsibilities Build and deliver scalable systems that incorporate machine learning and Generative AI capabilities. Create, evaluate, and deploy machine learning solutions, including applications powered by large language models. Establish and maintain datasets, testing strategies, and validation approaches to ensure model accuracy and stability. Partner with product and engineering teams to translate business needs into practical, deployable AI solutions. Integrate machine learning components into existing platforms and services. Develop and manage automated pipelines that support continuous integration and delivery of machine learning solutions. Monitor performance in production environments and refine systems based on real-world usage. Minimum Requirements Must be US Citizen or green card holder Bachelor’s degree in Computer Science, Engineering, or related field. 3 years experience delivering machine learning or AI-based solutions in production settings. 3 years experience programming in Python or a comparable language. 3 years experience working with large language models or Generative AI technologies. 3 years experience building and deploying solutions in AWS environments. 3 years experience establishing automated build, test, and release workflows for ML or data-driven applications. 3 years experience supporting deployed models, including monitoring performance and managing updates. Preferred Qualifications Master’s degree or higher in Computer Science, Engineering, or related field. Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures. Experience designing distributed systems or working within cloud-based environments. Experience integrating AI capabilities into customer-facing or enterprise applications. Experience working in Agile development environments. AWS certification

{
  "content_hash": "f998055205e121c6e00a6c193e9ef1904f29e15644b27f063a736cf90b313b14",
  "source_hash": "4d9901a86eb64154af196ff48877503c27a8965db0650b3279c7e323974e7b36",
  "last_changed_at": "2026-05-29T07:01:59.693Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Irvine, CA",
    "city": "Irvine",
    "region": "CA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": 155000,
  "salary_min": 120000,
  "inferred_at": "2026-06-06T07:57:31.479Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Irvine, CA",
      "city": "Irvine",
      "region": "CA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}

{}

{
  "lists": [
    {
      "text": "Responsibilities",
      "content": "<div>\n<ul style=\"list-style-type: disc;\">\n<li>Build and deliver scalable systems that incorporate machine learning and Generative AI capabilities.&nbsp;</li>\n<li>Create, evaluate, and deploy machine learning solutions, including applications powered by large language models.&nbsp;</li>\n<li>Establish and maintain datasets, testing strategies, and validation approaches to ensure model accuracy and stability.&nbsp;</li>\n<li>Partner with product and engineering teams to translate business needs into practical, deployable AI solutions.&nbsp;</li>\n<li>Integrate machine learning components into existing platforms and services.&nbsp;</li>\n<li>Develop and manage automated pipelines that support continuous integration and delivery of machine learning solutions.&nbsp;</li>\n<li>Monitor performance in production environments and refine systems based on real-world usage.&nbsp;</li>\n\n</ul></div>"
    },
    {
      "text": "Minimum Requirements",
      "content": "<div>\n<ul style=\"list-style-type: disc;\">\n<li>Must be US Citizen or green card holder</li>\n<li>Bachelor’s degree in Computer Science, Engineering, or related field.&nbsp;</li>\n<li>3 years experience delivering machine learning or AI-based solutions in production settings.&nbsp;</li>\n<li>3 years experience programming in Python or a comparable language.&nbsp;</li>\n<li>3 years experience working with large language models or Generative AI technologies.</li>\n<li>3 years experience building and deploying solutions in AWS environments.</li>\n<li>3 years experience establishing automated build, test, and release workflows for ML or data-driven applications.&nbsp;</li>\n<li>3 years experience supporting deployed models, including monitoring performance and managing updates.&nbsp;</li>\n\n</ul></div>"
    },
    {
      "text": "Preferred Qualifications",
      "content": "<div>\n<ul style=\"list-style-type: disc;\">\n<li>Master’s degree or higher in Computer Science, Engineering, or related field.&nbsp;</li>\n<li>Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures.&nbsp;</li>\n<li>Experience designing distributed systems or working within cloud-based environments.&nbsp;</li>\n<li>Experience integrating AI capabilities into customer-facing or enterprise applications.&nbsp;</li>\n<li>Experience working in Agile development environments.&nbsp;</li>\n<li>AWS certification</li>\n\n</ul></div>"
    }
  ],
  "country": "US",
  "createdAt": 1776886847480,
  "updatedAt": null,
  "categories": {
    "team": "Applications",
    "location": "Irvine, CA | Los Angeles, CA",
    "commitment": "Full Time",
    "department": "Valorem Reply Giant Tech, US",
    "allLocations": [
      "Irvine, CA | Los Angeles, CA"
    ]
  },
  "salaryRange": null,
  "workplaceType": "remote"
}