AI Engineer

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    "description_html": "<span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:115%;\">Join Expedient's AI CTRL product team as an <strong>AI Engineer</strong> where you'll build the agentic workflows, Retool applications, and data integrations that turn enterprise AI services into working, deployed solutions for our clients. You'll work hands-on with the full AI CTRL stack alongside a team of AI developers.  Deep AI research background isn't required — bring your development expertise, Python instincts, and curiosity to scale out.<br><br><strong>What You'll Do:</strong></span></span></span><ul><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Design & Build Agentic Workflows:** Develop and maintain automated workflows using tools that support the AI CTRL Agentic Workflow Engine (AWE) that execute multi-step client business processes end-to-end</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Build Client-Facing Applications:** Create apps for internal ops and client use cases — workflow catalogs, usage dashboards, billing reporting, automation, and custom AI-powered tools</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Integrate Enterprise Systems:** Design, configure and maintain MCP (Model Context Protocol) server integrations connecting AI models</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Build Data Connector Pipelines:** Develop connectors between client data sources and the vector store; ensure data flows correctly into AI-ready formats</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Ensure Data Quality:** Implement validation and cleansing processes that directly impact AI model accuracy</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Collaborate & Document:** Partner with the AI Dev engineering team on platform improvements, runbooks, integration guides, and workflow documentation at scale</span></span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><strong>What We're Looking For:</strong></span></span></span></span></span><ul><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">2–4 years in software development, systems integration, AI/automation engineering, or a closely related technical role. Prior experience at a managed service provider, SaaS company, or enterprise technology team is a strong plus.</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Building apps, workflows, database queries, REST API connections, and JavaScript transforms — able to deliver without engineering hand-holding</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Working knowledge of LLM APIs (Anthropic Claude, OpenAI, Google Gemini): prompt construction, tool use/function calling, token management</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Python scripting: automation, file processing, API calls, JSON handling</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">REST API consumption and light API development (FastAPI or equivalent)</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">SQL fundamentals — can write queries for reporting and Retool data connections</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Familiarity with **RAG concepts**: chunking, embedding, vector search, context window management</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Kubernetes basics: reading pod logs, understanding namespace structure, construct of containers</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Understanding of SSO/OIDC at a configuration level (Entra ID, Okta, OneLogin</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Self-directed: picks up a backlog item, researches an unfamiliar connector API, and delivers working code</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Documentation instinct: writes the runbook before calling something done; updates the guide when the process changes</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">PM-adjacent thinking: understands that a feature isn't done when the code works — it's done when the client can use it without a support ticket</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Optimize & Innovate: Troubleshoot pipeline issues, enhance performance, and stay current with emerging data engineering technologies</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Adaptable in fast-paced environments, strong ownership mentality, entrepreneurial mindset, excellent communicator, passionate about solving business problems with data</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Bachelor's in Computer Science, Engineering, Information Systems, or related field (or equivalent practical experience</span></span></span></span></span></li></ul><div style=\"margin-bottom:11px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:115%;\"><strong>Location & Compensation:</strong><br>I<b>ndianapolis, Cleveland, Pittsburgh, Columbus, or Memphis. </b> Hybrid work model. Regional travel may be required.</span><br>Salary for this position is directly related to your own experience, knowledge, and skills.  Estimated range for this role is $120,000 to $150</span></span><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">,000 <br><br>#LI-hybrid</span></span></div><p><strong>WORKING FOR EXPEDIENT</strong><br />\nWe prioritize ongoing education and continuous innovation to remain at the forefront of the information technology landscape. Our commitment to learning is reflected in our comprehensive employee training and tuition reimbursement programs, which are driven by our employees and funded by Expedient 100%.<br />\n<br />\nFor our full-time employees we offer an exceptional benefits package including three weeks of paid time off annually that increases with tenure plus your birthday off and a health holiday to be used for preventive care. We offer parental leave, top-tier medical, dental, and vision, disability and life insurance, at an affordable rate, wellness engagement opportunities, and a 401(k) with a generous match.<br />\n<br />\nWe also recognize the importance of a comfortable and convenient work environment. We offer a hybrid work model for many roles, paid parking and other perks.</p>\n\n<p>Expedient is an equal opportunity employer. Qualified applicants will receive fair and equitable consideration for employment without regard to their race, color, religion, national origin, gender, protected veteran status, disability, or any other characteristic protected by law.</p>",
    "description_text": "Join Expedient's AI CTRL product team as an AI Engineer where you'll build the agentic workflows, Retool applications, and data integrations that turn enterprise AI services into working, deployed solutions for our clients. You'll work hands-on with the full AI CTRL stack alongside a team of AI developers.  Deep AI research background isn't required — bring your development expertise, Python instincts, and curiosity to scale out.\n What You'll Do: Design & Build Agentic Workflows:** Develop and maintain automated workflows using tools that support the AI CTRL Agentic Workflow Engine (AWE) that execute multi-step client business processes end-to-end\n Build Client-Facing Applications:** Create apps for internal ops and client use cases — workflow catalogs, usage dashboards, billing reporting, automation, and custom AI-powered tools\n Integrate Enterprise Systems:** Design, configure and maintain MCP (Model Context Protocol) server integrations connecting AI models\n Build Data Connector Pipelines:** Develop connectors between client data sources and the vector store; ensure data flows correctly into AI-ready formats\n Ensure Data Quality:** Implement validation and cleansing processes that directly impact AI model accuracy\n Collaborate & Document:** Partner with the AI Dev engineering team on platform improvements, runbooks, integration guides, and workflow documentation at scale\n What We're Looking For: 2–4 years in software development, systems integration, AI/automation engineering, or a closely related technical role. Prior experience at a managed service provider, SaaS company, or enterprise technology team is a strong plus.\n Building apps, workflows, database queries, REST API connections, and JavaScript transforms — able to deliver without engineering hand-holding\n Working knowledge of LLM APIs (Anthropic Claude, OpenAI, Google Gemini): prompt construction, tool use/function calling, token management\n Python scripting: automation, file processing, API calls, JSON handling\n REST API consumption and light API development (FastAPI or equivalent)\n SQL fundamentals — can write queries for reporting and Retool data connections\n Familiarity with **RAG concepts**: chunking, embedding, vector search, context window management\n Kubernetes basics: reading pod logs, understanding namespace structure, construct of containers\n Understanding of SSO/OIDC at a configuration level (Entra ID, Okta, OneLogin\n Self-directed: picks up a backlog item, researches an unfamiliar connector API, and delivers working code\n Documentation instinct: writes the runbook before calling something done; updates the guide when the process changes\n PM-adjacent thinking: understands that a feature isn't done when the code works — it's done when the client can use it without a support ticket\n Optimize & Innovate: Troubleshoot pipeline issues, enhance performance, and stay current with emerging data engineering technologies\n Adaptable in fast-paced environments, strong ownership mentality, entrepreneurial mindset, excellent communicator, passionate about solving business problems with data\n Bachelor's in Computer Science, Engineering, Information Systems, or related field (or equivalent practical experience\n Location & Compensation:\nI ndianapolis, Cleveland, Pittsburgh, Columbus, or Memphis.   Hybrid work model. Regional travel may be required.\nSalary for this position is directly related to your own experience, knowledge, and skills.  Estimated range for this role is $120,000 to $150 ,000\n#LI-hybrid\n WORKING FOR EXPEDIENT\nWe prioritize ongoing education and continuous innovation to remain at the forefront of the information technology landscape. Our commitment to learning is reflected in our comprehensive employee training and tuition reimbursement programs, which are driven by our employees and funded by Expedient 100%.\nFor our full-time employees we offer an exceptional benefits package including three weeks of paid time off annually that increases with tenure plus your birthday off and a health holiday to be used for preventive care. We offer parental leave, top-tier medical, dental, and vision, disability and life insurance, at an affordable rate, wellness engagement opportunities, and a 401(k) with a generous match.\nWe also recognize the importance of a comfortable and convenient work environment. We offer a hybrid work model for many roles, paid parking and other perks.\n Expedient is an equal opportunity employer. Qualified applicants will receive fair and equitable consideration for employment without regard to their race, color, religion, national origin, gender, protected veteran status, disability, or any other characteristic protected by law.",
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      "description": "<span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:115%;\">Join Expedient's AI CTRL product team as an <strong>AI Engineer</strong> where you'll build the agentic workflows, Retool applications, and data integrations that turn enterprise AI services into working, deployed solutions for our clients. You'll work hands-on with the full AI CTRL stack alongside a team of AI developers.  Deep AI research background isn't required — bring your development expertise, Python instincts, and curiosity to scale out.<br><br><strong>What You'll Do:</strong></span></span></span><ul><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Design & Build Agentic Workflows:** Develop and maintain automated workflows using tools that support the AI CTRL Agentic Workflow Engine (AWE) that execute multi-step client business processes end-to-end</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Build Client-Facing Applications:** Create apps for internal ops and client use cases — workflow catalogs, usage dashboards, billing reporting, automation, and custom AI-powered tools</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Integrate Enterprise Systems:** Design, configure and maintain MCP (Model Context Protocol) server integrations connecting AI models</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Build Data Connector Pipelines:** Develop connectors between client data sources and the vector store; ensure data flows correctly into AI-ready formats</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Ensure Data Quality:** Implement validation and cleansing processes that directly impact AI model accuracy</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Collaborate & Document:** Partner with the AI Dev engineering team on platform improvements, runbooks, integration guides, and workflow documentation at scale</span></span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><strong>What We're Looking For:</strong></span></span></span></span></span><ul><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">2–4 years in software development, systems integration, AI/automation engineering, or a closely related technical role. Prior experience at a managed service provider, SaaS company, or enterprise technology team is a strong plus.</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Building apps, workflows, database queries, REST API connections, and JavaScript transforms — able to deliver without engineering hand-holding</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Working knowledge of LLM APIs (Anthropic Claude, OpenAI, Google Gemini): prompt construction, tool use/function calling, token management</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Python scripting: automation, file processing, API calls, JSON handling</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">REST API consumption and light API development (FastAPI or equivalent)</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">SQL fundamentals — can write queries for reporting and Retool data connections</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Familiarity with **RAG concepts**: chunking, embedding, vector search, context window management</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Kubernetes basics: reading pod logs, understanding namespace structure, construct of containers</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Understanding of SSO/OIDC at a configuration level (Entra ID, Okta, OneLogin</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Self-directed: picks up a backlog item, researches an unfamiliar connector API, and delivers working code</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Documentation instinct: writes the runbook before calling something done; updates the guide when the process changes</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">PM-adjacent thinking: understands that a feature isn't done when the code works — it's done when the client can use it without a support ticket</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Optimize & Innovate: Troubleshoot pipeline issues, enhance performance, and stay current with emerging data engineering technologies</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Adaptable in fast-paced environments, strong ownership mentality, entrepreneurial mindset, excellent communicator, passionate about solving business problems with data</span></span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Bachelor's in Computer Science, Engineering, Information Systems, or related field (or equivalent practical experience</span></span></span></span></span></li></ul><div style=\"margin-bottom:11px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"line-height:115%;\"><strong>Location & Compensation:</strong><br>I<b>ndianapolis, Cleveland, Pittsburgh, Columbus, or Memphis. </b> Hybrid work model. Regional travel may be required.</span><br>Salary for this position is directly related to your own experience, knowledge, and skills.  Estimated range for this role is $120,000 to $150</span></span><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">,000 <br><br>#LI-hybrid</span></span></div><p><strong>WORKING FOR EXPEDIENT</strong><br />\nWe prioritize ongoing education and continuous innovation to remain at the forefront of the information technology landscape. Our commitment to learning is reflected in our comprehensive employee training and tuition reimbursement programs, which are driven by our employees and funded by Expedient 100%.<br />\n<br />\nFor our full-time employees we offer an exceptional benefits package including three weeks of paid time off annually that increases with tenure plus your birthday off and a health holiday to be used for preventive care. We offer parental leave, top-tier medical, dental, and vision, disability and life insurance, at an affordable rate, wellness engagement opportunities, and a 401(k) with a generous match.<br />\n<br />\nWe also recognize the importance of a comfortable and convenient work environment. We offer a hybrid work model for many roles, paid parking and other perks.</p>\n\n<p>Expedient is an equal opportunity employer. Qualified applicants will receive fair and equitable consideration for employment without regard to their race, color, religion, national origin, gender, protected veteran status, disability, or any other characteristic protected by law.</p>",
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