{"schemaVersion":"jobsearcher.job.v1","id":"89241a1b5682aa10ef76b618","url":"https://jobsearcher.com/jobs/89241a1b5682aa10ef76b618","canonicalUrl":"https://jobsearcher.com/jobs/89241a1b5682aa10ef76b618","title":"Internal Forward Deployed Engineer, Entry Level","description":"Associate Applied AI Engineer\n\nLocation: United States (Boston, MA or Cary, NC)\n\nAbout Us:\n\nWe are dealer focused and OEM aligned. We are a leading ERP & DMS software and solutions provider to dealers and rental companies of heavy equipment. We specialize in working with the construction, mining, forestry, material handling, and agriculture industries. Today, we have over 800 employees, offices on four continents, and customers in over 20 countries. We are privately held, and our headquarters are in beautiful Cary, NC. We are actively seeking talented individuals to join our team and help us aggressively grow our international & North American footprint for both our 100% cloud-based ERP, DMS, and Rental solutions.\n\nWhy work for VitalEdge?\n\nWe don’t just sell technology, we enable transformation that results in broader societal benefits like building homes and critical infrastructure, growing food and delivering all sorts of products we all rely on for daily life. We exist to ultimately equip the world to keep running. We have more than 60 years of combined experience and three industry-leading software suites and associated apps, with which we will drive the market forward. It’s an exciting time to work for VitalEdge, join us!\n\nPosition Overview:\n\nVitalEdge is building an Applied AI team to serve as the company’s AI strike team. The team will use a forward-deployed operating model internally, partnering with functional leaders and subject-matter experts to identify high-value opportunities and turn them into production-ready AI solutions.\n\nThe Associate Applied AI Engineer is an early-career builder who combines strong computer science fundamentals with curiosity about how the business operates. Working alongside the Senior Applied AI Engineer, this role will help translate business workflows into practical AI solutions, contribute production-quality code, and support deployments from prototype through adoption.\n\nThis role is designed for a recent graduate in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related discipline. Success requires the ability to learn quickly, work through ambiguity, collaborate with technical and business stakeholders, and connect engineering decisions to measurable operational outcomes.\n\nResponsibilities:\n\nTranslate Business Workflows into Technical Builds\n\nWork with the SeniorApplied AI Engineer, functional leaders, and subject-matter experts to understand business processes, pain points, data, constraints, and user needs.\nTurn defined business problems into technical tasks, prototypes, and production components.\nTest solutions with users, incorporate feedback, and help ensure the final product fits the operating workflow and delivers measurable value.\nCommunicate progress, risks, and technical trade-offs clearly to both technical and nontechnical stakeholders.\n\nBuild and Deploy Agentic Systems\n\nDevelop components of AI agents, multi-agent workflows, automation solutions, and AI-enabled applications under the guidance of the SeniorApplied AI Engineer.\nBuild retrieval-augmented generation (RAG) pipelines, MCP-based tool integrations, APIs, and connections to enterprise applications and data sources.\nContribute across context engineering, harness engineering, loop engineering, and graph engineering to improve agent performance, reliability, and workflow coordination.\nCreate and maintain evals, tests, monitoring, feedback loops, and technical documentation forproductionAI systems.\nWrite clean, tested, maintainable code and support deployment, troubleshooting, and production operations.\n\nBuild Repeatable Capability\n\nContribute reusable code, prompt patterns, eval assets, technical documentation, and implementation playbooks.\nCapture lessons from each deployment so subsequent initiatives can move faster and avoid repeated work.\nStay current on emerging AI capabilities and engineering patterns, applying them pragmatically rather than becoming tied to a single model or framework.\nDevelop the technical judgment and business understanding required to independently own larger solution components over time.\n\nQualifications:\n\nRequired\n\nBachelor’s or Master’s degree completed recently in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, ora related technical discipline.\nStrong programming fundamentals and practical Python experience demonstrated through internships, research, coursework, open-source contributions, a capstone, or personal projects.\nUnderstanding ofalgorithms, data structures, APIs, databases, testing, version control, and software development practices.\nFoundational experience building AI-enabled applications using several of the following: agents, orchestration, RAG, MCP or tool integrations, context engineering, harness engineering, loop engineering, graph engineering, and evals.\nDemonstrated ability to learn an unfamiliar business or technical domain, askstrong questions, and turn ambiguity into structured work.\nClear communication skills and the ability to collaborate with engineers, functional teams, and subject-matter experts.\nEvidence of ownership, initiative, and follow-through in an academic, internship, research, or project setting.\n\nPreferred\n\nInternship, research, hackathon, academic, or project experience building AI, machine learning, data, automation, or software applications.\nExperience with Git, SQL, REST APIs, cloud platforms, containers, or CI/CD workflows.\nFamiliarity with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or comparable technologies.\nExposure to enterprise workflows, SaaS products, ERP systems, data migration, customer support, or software development operations.\nA portfolio, GitHub repository, capstone, or other work product demonstrating hands-on technical ability and problem-solving.\n\nWhat Success Looks Like:\n\nContributes production-quality code to priority AI deployments and connects the work to the intended business outcome.\nLearnsbusiness workflows quickly andtranslatesrequirements into reliable technical components.\nTakes increasing ownership of solution components from design through testing, deployment, and user feedback.\nCreates reusable code, evals, and documentation thatimprovethe speed and quality of future builds.\nDevelops into a trusted, increasingly independent contributor within the Applied AI team.","company":"Eemphasys Technologies","rawCompany":"eemphasys technologies","city":"Cary","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-09-25T12:02:32.343Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Internal Forward Deployed Engineer, Entry Level","description":"Associate Applied AI Engineer\n\nLocation: United States (Boston, MA or Cary, NC)\n\nAbout Us:\n\nWe are dealer focused and OEM aligned. We are a leading ERP & DMS software and solutions provider to dealers and rental companies of heavy equipment. We specialize in working with the construction, mining, forestry, material handling, and agriculture industries. Today, we have over 800 employees, offices on four continents, and customers in over 20 countries. We are privately held, and our headquarters are in beautiful Cary, NC. We are actively seeking talented individuals to join our team and help us aggressively grow our international & North American footprint for both our 100% cloud-based ERP, DMS, and Rental solutions.\n\nWhy work for VitalEdge?\n\nWe don’t just sell technology, we enable transformation that results in broader societal benefits like building homes and critical infrastructure, growing food and delivering all sorts of products we all rely on for daily life. We exist to ultimately equip the world to keep running. We have more than 60 years of combined experience and three industry-leading software suites and associated apps, with which we will drive the market forward. It’s an exciting time to work for VitalEdge, join us!\n\nPosition Overview:\n\nVitalEdge is building an Applied AI team to serve as the company’s AI strike team. The team will use a forward-deployed operating model internally, partnering with functional leaders and subject-matter experts to identify high-value opportunities and turn them into production-ready AI solutions.\n\nThe Associate Applied AI Engineer is an early-career builder who combines strong computer science fundamentals with curiosity about how the business operates. Working alongside the Senior Applied AI Engineer, this role will help translate business workflows into practical AI solutions, contribute production-quality code, and support deployments from prototype through adoption.\n\nThis role is designed for a recent graduate in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related discipline. Success requires the ability to learn quickly, work through ambiguity, collaborate with technical and business stakeholders, and connect engineering decisions to measurable operational outcomes.\n\nResponsibilities:\n\nTranslate Business Workflows into Technical Builds\n\nWork with the SeniorApplied AI Engineer, functional leaders, and subject-matter experts to understand business processes, pain points, data, constraints, and user needs.\nTurn defined business problems into technical tasks, prototypes, and production components.\nTest solutions with users, incorporate feedback, and help ensure the final product fits the operating workflow and delivers measurable value.\nCommunicate progress, risks, and technical trade-offs clearly to both technical and nontechnical stakeholders.\n\nBuild and Deploy Agentic Systems\n\nDevelop components of AI agents, multi-agent workflows, automation solutions, and AI-enabled applications under the guidance of the SeniorApplied AI Engineer.\nBuild retrieval-augmented generation (RAG) pipelines, MCP-based tool integrations, APIs, and connections to enterprise applications and data sources.\nContribute across context engineering, harness engineering, loop engineering, and graph engineering to improve agent performance, reliability, and workflow coordination.\nCreate and maintain evals, tests, monitoring, feedback loops, and technical documentation forproductionAI systems.\nWrite clean, tested, maintainable code and support deployment, troubleshooting, and production operations.\n\nBuild Repeatable Capability\n\nContribute reusable code, prompt patterns, eval assets, technical documentation, and implementation playbooks.\nCapture lessons from each deployment so subsequent initiatives can move faster and avoid repeated work.\nStay current on emerging AI capabilities and engineering patterns, applying them pragmatically rather than becoming tied to a single model or framework.\nDevelop the technical judgment and business understanding required to independently own larger solution components over time.\n\nQualifications:\n\nRequired\n\nBachelor’s or Master’s degree completed recently in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, ora related technical discipline.\nStrong programming fundamentals and practical Python experience demonstrated through internships, research, coursework, open-source contributions, a capstone, or personal projects.\nUnderstanding ofalgorithms, data structures, APIs, databases, testing, version control, and software development practices.\nFoundational experience building AI-enabled applications using several of the following: agents, orchestration, RAG, MCP or tool integrations, context engineering, harness engineering, loop engineering, graph engineering, and evals.\nDemonstrated ability to learn an unfamiliar business or technical domain, askstrong questions, and turn ambiguity into structured work.\nClear communication skills and the ability to collaborate with engineers, functional teams, and subject-matter experts.\nEvidence of ownership, initiative, and follow-through in an academic, internship, research, or project setting.\n\nPreferred\n\nInternship, research, hackathon, academic, or project experience building AI, machine learning, data, automation, or software applications.\nExperience with Git, SQL, REST APIs, cloud platforms, containers, or CI/CD workflows.\nFamiliarity with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or comparable technologies.\nExposure to enterprise workflows, SaaS products, ERP systems, data migration, customer support, or software development operations.\nA portfolio, GitHub repository, capstone, or other work product demonstrating hands-on technical ability and problem-solving.\n\nWhat Success Looks Like:\n\nContributes production-quality code to priority AI deployments and connects the work to the intended business outcome.\nLearnsbusiness workflows quickly andtranslatesrequirements into reliable technical components.\nTakes increasing ownership of solution components from design through testing, deployment, and user feedback.\nCreates reusable code, evals, and documentation thatimprovethe speed and quality of future builds.\nDevelops into a trusted, increasingly independent contributor within the Applied AI team.","datePosted":"2026-09-25T12:02:32.343Z","dateModified":"2026-09-25T12:02:32.343Z","hiringOrganization":{"@type":"Organization","name":"Eemphasys Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cary","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"89241a1b5682aa10ef76b618"},"url":"https://jobsearcher.com/jobs/89241a1b5682aa10ef76b618"}}