AI Engineer

{
  "content_hash": "6a87506b853799edef09b4b40b065125eac0c84c7f7392b339158053374f7cc8",
  "source_hash": "5a7e2f6a97c6866a2680ba33fc1bf23f9d35a210c7de060f7bc064985e43df72",
  "last_changed_at": "2026-06-20T08:25:38.012Z",
  "active_status": "deleted"
}

{
  "language": "en",
  "location": {
    "raw": "Fairfax, VA, US",
    "city": "Fairfax",
    "region": "VA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-18T08:26:45.291Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Fairfax, VA, US",
      "city": "Fairfax",
      "region": "VA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}

{}

{
  "json_ld": {
    "url": "https://careers-intllogic.icims.com/jobs/1308/ai-engineer/job",
    "@type": "JobPosting",
    "title": "AI Engineer",
    "@context": "http://schema.org",
    "datePosted": "2024-06-18T08:26:45.048Z",
    "description": "<h2>Overview</h2>\n<p><strong>AI Engineer - required onsite (hybrid) in Fairfax, VA</strong></p>\n<p><strong>Overview</strong></p>\n<p>ILS Inc. is seeking an AI Engineer to design and implement next-generation AI solutions using large language models (LLMs), agentic workflows, and Model Context Protocol (MCP)-based integrations. The ideal candidate has hands-on experience building AI-powered applications (not just training models) and understands how to orchestrate tools, APIs, and data sources into reliable systems. </p>\n<p>MUST BE LOCAL TO DC METRO AREA (hybrid support - 2 days in ILS HQ office, located in Fairfax, VA 22033</p>\n<h2>Responsibilities</h2>\n<p><strong>Responsibilities</strong></p>\n<ul>\n <li>Design and build agentic AI systems that can reason, plan, and execute tasks using LLMs.</li>\n <li>Implement integrations using Model Context Protocol (MCP) to connect AI agents with tools, APIs, and enterprise systems.</li>\n <li>Develop and maintain LLM-powered applications (e.g., copilots, chat systems, automation tools).</li>\n <li> Build prompt pipelines, tool-calling workflows, and multi-step reasoning systems.</li>\n <li>Develop backend services using Java (Spring Boot) and/or Python to expose AI capabilities via APIs.</li>\n <li>Leverage Spring AI or similar frameworks to integrate LLMs into enterprise applications.</li>\n <li>Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases.</li>\n <li>Integrate AI solutions with cloud-native services such as AWS, Azure, and Google Cloud.</li>\n <li> Deploy AI services and ensure scalability, reliability, and performance.</li>\n <li>Collaborate with cross-functional teams in an Agile/Scrum environment.</li>\n <li>Monitor and optimize AI systems for latency, cost, and output quality.</li>\n</ul>\n<h2>Qualifications</h2>\n<p>Required skill sets - Extensive experience with:</p>\n<ul>\n <li>Bachelor’s degree in computer science, Engineering, or related field.</li>\n <li>5-9 years of professional experience in software engineering, AI engineering, or applied ML roles.</li>\n <li>Hands-on experience with LLM APIs.</li>\n <li> Experience building agent-based workflows.</li>\n <li>·Understanding of prompt engineering, tool usage, and structured outputs.</li>\n <li> Familiarity with RAG architectures and vector databases.</li>\n <li>Experience with Model Context Protocol (MCP) or similar integration standards.</li>\n <li>Experience working with at least one cloud platform and exposure to others:</li>\n <ul>\n  <li>AWS (Lambda, Bedrock, SageMaker, S3)</li>\n  <li>Azure (Azure OpenAI, Functions, Cognitive Services)</li>\n  <li>Google Cloud (Gemini Enterprise Agent Platform, Vertex AI, Cloud Functions, BigQuery)</li>\n </ul>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n <li>Strong programming skills in Python and/or Java.</li>\n <li>Experience building backend services using Spring Boot (REST APIs, microservices).</li>\n <li>Exposure to Spring AI or similar frameworks for integrating LLMs into Java applications.</li>\n <li>Experience with Docker and containerized deployments.</li>\n <li>Basic frontend experience (React, Angular) for AI-driven applications.</li>\n <li>Experience working in regulated environments (government, finance, healthcare).</li>\n</ul>\n<p> </p>",
    "directApply": true,
    "jobLocation": [
      {
        "@type": "Place",
        "address": {
          "@type": "PostalAddress",
          "postalCode": "22033",
          "addressRegion": "VA",
          "streetAddress": "12150 Monument Drive",
          "addressCountry": "US",
          "addressLocality": "Fairfax",
          "postOfficeBoxNumber": "UNAVAILABLE"
        }
      }
    ],
    "validThrough": "2026-06-30T04:00:00.000Z",
    "employmentType": "FULL_TIME",
    "hiringOrganization": {
      "name": "International Logic Systems, Inc.",
      "@type": "Organization",
      "sameAs": "http://www.intllogic.com/index.html"
    },
    "occupationalCategory": "Information Technology"
  },
  "detail_meta": {
    "url": "https://careers-intllogic.icims.com/jobs/1308/ai-engineer/job?in_iframe=1",
    "http_status": 200,
    "content_type": "text/html;charset=UTF-8",
    "response_bytes": 31874,
    "compact_response_bytes": 4274,
    "original_response_bytes": 31874
  },
  "sitemap_job": {
    "id": "1308",
    "url": "https://careers-intllogic.icims.com/jobs/1308/ai-engineer/job",
    "slug": "ai-engineer",
    "lastmod": "2026-06-17T10:23:14-04:00"
  },
  "detail_errors": []
}