{"schemaVersion":"jobsearcher.job.v1","id":"49943137041d43f1fb8ab8ec","url":"https://jobsearcher.com/jobs/49943137041d43f1fb8ab8ec","canonicalUrl":"https://jobsearcher.com/jobs/49943137041d43f1fb8ab8ec","title":"Associate AI Software Engineer","description":"Who we are\n\nOver 600 employees strong, Asure sees Human Capital Management (HCM) through the lens of entrepreneurs and executives with an owner’s mentality. We help businesses develop their “Human Capital” to get to the next level, stay compliant, and allocate their time, money and technology toward growth. Our HCM platform empowers more than 100,000 clients to build great teams and better manage their people while staying compliant in an ever-changing HR legislative landscape. Asure’s HCM offering includes Payroll & Tax, HR, and Time & Attendance software and HR Services ranging from online compliance tools to a fully outsourced HR department.\n\nHow you will contribute\n\nAs an Associate AI Software Engineer, you will work alongside experienced engineers and AI practitioners to design, develop, test, and maintain AI-powered software that supports Asure's products and platform services. In this role you will primarily write Python and build features that integrate large language models (LLMs) and other AI services into real applications running in our AWS cloud environment.\n\nThis role is designed for early-career engineers who are eager to grow by learning modern AI software development practices and contributing to business-critical applications. You will gain hands-on experience integrating LLMs, building the APIs and data pipelines that support AI features, and applying solid software engineering fundamentals — all with the guidance and support of a senior team, and with room to grow your skills over time.\n\nMuch of this work supports Asure's agentic AI platform, which is designed to turn AI reasoning into reliable, real-world execution across payroll and HCM workflows — with human confirmation required before any sensitive action is committed. You will help build the tools and integrations that let AI systems take safe, well-scoped actions rather than simply generating text, working with modern agent architectures such as the Model Context Protocol (MCP) and human-in-the-loop patterns.\n\nMajor Duties and Responsibilities:\nCollaborate with engineers, product managers, and other stakeholders to build AI-powered software features that meet business and customer needs.\nWrite clean, maintainable, well-tested Python code for applications, services, and APIs that leverage AI and LLM capabilities.\nIntegrate large language models (LLMs) and AI services into software applications and business workflows, primarily within our AWS environment.\nAssist with prompt design, experimentation, evaluation, and validation of LLM-based features under the guidance of senior engineers.\nContribute to the data pipelines and retrieval components (e.g., embeddings and vector search) that support AI features.\nParticipate in code reviews and incorporate feedback to improve software quality, AI solution effectiveness, and your own technical skills.\nAssist with troubleshooting, debugging, monitoring, and resolving defects in AI-enabled applications and services.\nWork with relational, NoSQL, and vector data stores to support AI-driven solutions.\nSupport the deployment and operation of AI applications and services in cloud (AWS) environments.\nParticipate in Agile development activities, including sprint planning, stand-ups, and retrospectives.\nFollow software engineering and responsible AI best practices, and continuously develop your knowledge across Python, AI/LLMs, and cloud technologies with a curiosity and growth mindset.\n\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, Information Technology, or a related technical field.\nUnderstanding of software development fundamentals, including object-oriented programming, data structures, algorithms, and software design principles.\nProficiency in Python — the primary language for this role — demonstrated through coursework, projects, internships, or personal development. Strong fundamentals in another modern language (e.g., C#, Java, or JavaScript/TypeScript) with the ability to ramp up quickly on Python are also welcome.\nFoundational understanding of artificial intelligence, machine learning, or generative AI concepts, gained through coursework, certifications, projects, research, internships, or personal learning.\nUnderstanding of large language models (LLMs) and basic prompt engineering concepts, and how they are applied in software applications.\nFamiliarity with APIs and web services.\nFamiliarity with at least one major cloud platform (AWS preferred; Azure or Google Cloud Platform also relevant).\nBasic understanding of data management concepts, including relational and NoSQL databases.\nExperience using Git or other version control systems.\nStrong problem-solving, analytical, and communication skills.\nAbility to learn quickly and collaborate effectively in a team-oriented environment.\n\nPreferred Qualifications\nHands-on experience — through work, internships, co-ops, academic or personal projects, hackathons, or open-source contributions — building software that uses LLMs or other AI capabilities.\nExperience building agentic AI features — including agent orchestration, tool/function calling, and the Model Context Protocol (MCP) — or with related frameworks and patterns such as LangChain, retrieval-augmented generation (RAG), vector databases, and embeddings.\nExposure to LLM platforms and services such as Anthropic, Amazon Bedrock, OpenAI, Azure OpenAI, or Google Gemini.\nHands-on experience with AWS, particularly its AI/ML and application services (e.g., Amazon Bedrock, SageMaker, Lambda, DynamoDB).\nExposure to the Python data and ML ecosystem (e.g., Pandas, NumPy, and libraries such as PyTorch, TensorFlow, or Scikit-learn).\nFamiliarity with RESTful APIs, web services, and third-party or system integrations.\nUnderstanding of AI model and prompt evaluation, monitoring, governance, security, and responsible AI principles.\nFamiliarity with Agile methodologies, DevOps practices, automated testing, or CI/CD pipelines.\nExposure to data engineering, ETL pipelines, or analytics platforms.\nExperience using AI-assisted development tools such as GitHub Copilot, Cursor, or similar.\n\nCompensation\nThe starting salary for this position is $80,000 based on relevant experience, skills, and industry knowledge.\n\nBenefits\nMedical, Dental, Vision, HSA, FSA- All effective on day 1!\nCompany paid Basic Life Insurance, A+D, Long-Term Disability, and Short-Term Disability\n401K Program with 3% safe harbor contribution\nEmployee Stock Purchase Program\nFitness Reimbursement Program\nSelf-Managed PTO\n\nOur Mission\nTo provide Human Capital Management (HCM) software and services that help companies grow, while nurturing a culture of growth around us.\nHelping customers grow by getting the most from their human capital.\nHelping our employees grow personally and professionally.\nGrowing relationships in our communities that inspire goodness.\nGrow shareholder value\n\nOur Vision\nBe the most trusted Human Capital Management resource to entrepreneurs everywhere.\n\nOur Values\nReflect who we are and what we stand for as a company.\nEmbrace Change\nLead with Integrity\nOwn the Outcome\nDeliver Awesome\nBe a Good Human\n\nWe are an equal opportunity employer. All candidates must be legally authorized to work in the US, as we are unable to sponsor or transfer Visas at this time.\n\nNO AGENCIES PLEASE\nAny unsolicited resumes sent to Asure Software from a third party, such as an Agency, including unsolicited resumes sent to Asure’s mailing address, fax machine or email address, directly to employees or hiring managers will be considered Asure property. Asure will not pay a fee for any placement resulting from the receipt of an unsolicited resume.","company":"Asure Software","rawCompany":"asure software","city":"Addison","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-06T09:45:14.029Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Associate AI Software Engineer","description":"Who we are\n\nOver 600 employees strong, Asure sees Human Capital Management (HCM) through the lens of entrepreneurs and executives with an owner’s mentality. We help businesses develop their “Human Capital” to get to the next level, stay compliant, and allocate their time, money and technology toward growth. Our HCM platform empowers more than 100,000 clients to build great teams and better manage their people while staying compliant in an ever-changing HR legislative landscape. Asure’s HCM offering includes Payroll & Tax, HR, and Time & Attendance software and HR Services ranging from online compliance tools to a fully outsourced HR department.\n\nHow you will contribute\n\nAs an Associate AI Software Engineer, you will work alongside experienced engineers and AI practitioners to design, develop, test, and maintain AI-powered software that supports Asure's products and platform services. In this role you will primarily write Python and build features that integrate large language models (LLMs) and other AI services into real applications running in our AWS cloud environment.\n\nThis role is designed for early-career engineers who are eager to grow by learning modern AI software development practices and contributing to business-critical applications. You will gain hands-on experience integrating LLMs, building the APIs and data pipelines that support AI features, and applying solid software engineering fundamentals — all with the guidance and support of a senior team, and with room to grow your skills over time.\n\nMuch of this work supports Asure's agentic AI platform, which is designed to turn AI reasoning into reliable, real-world execution across payroll and HCM workflows — with human confirmation required before any sensitive action is committed. You will help build the tools and integrations that let AI systems take safe, well-scoped actions rather than simply generating text, working with modern agent architectures such as the Model Context Protocol (MCP) and human-in-the-loop patterns.\n\nMajor Duties and Responsibilities:\nCollaborate with engineers, product managers, and other stakeholders to build AI-powered software features that meet business and customer needs.\nWrite clean, maintainable, well-tested Python code for applications, services, and APIs that leverage AI and LLM capabilities.\nIntegrate large language models (LLMs) and AI services into software applications and business workflows, primarily within our AWS environment.\nAssist with prompt design, experimentation, evaluation, and validation of LLM-based features under the guidance of senior engineers.\nContribute to the data pipelines and retrieval components (e.g., embeddings and vector search) that support AI features.\nParticipate in code reviews and incorporate feedback to improve software quality, AI solution effectiveness, and your own technical skills.\nAssist with troubleshooting, debugging, monitoring, and resolving defects in AI-enabled applications and services.\nWork with relational, NoSQL, and vector data stores to support AI-driven solutions.\nSupport the deployment and operation of AI applications and services in cloud (AWS) environments.\nParticipate in Agile development activities, including sprint planning, stand-ups, and retrospectives.\nFollow software engineering and responsible AI best practices, and continuously develop your knowledge across Python, AI/LLMs, and cloud technologies with a curiosity and growth mindset.\n\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, Information Technology, or a related technical field.\nUnderstanding of software development fundamentals, including object-oriented programming, data structures, algorithms, and software design principles.\nProficiency in Python — the primary language for this role — demonstrated through coursework, projects, internships, or personal development. Strong fundamentals in another modern language (e.g., C#, Java, or JavaScript/TypeScript) with the ability to ramp up quickly on Python are also welcome.\nFoundational understanding of artificial intelligence, machine learning, or generative AI concepts, gained through coursework, certifications, projects, research, internships, or personal learning.\nUnderstanding of large language models (LLMs) and basic prompt engineering concepts, and how they are applied in software applications.\nFamiliarity with APIs and web services.\nFamiliarity with at least one major cloud platform (AWS preferred; Azure or Google Cloud Platform also relevant).\nBasic understanding of data management concepts, including relational and NoSQL databases.\nExperience using Git or other version control systems.\nStrong problem-solving, analytical, and communication skills.\nAbility to learn quickly and collaborate effectively in a team-oriented environment.\n\nPreferred Qualifications\nHands-on experience — through work, internships, co-ops, academic or personal projects, hackathons, or open-source contributions — building software that uses LLMs or other AI capabilities.\nExperience building agentic AI features — including agent orchestration, tool/function calling, and the Model Context Protocol (MCP) — or with related frameworks and patterns such as LangChain, retrieval-augmented generation (RAG), vector databases, and embeddings.\nExposure to LLM platforms and services such as Anthropic, Amazon Bedrock, OpenAI, Azure OpenAI, or Google Gemini.\nHands-on experience with AWS, particularly its AI/ML and application services (e.g., Amazon Bedrock, SageMaker, Lambda, DynamoDB).\nExposure to the Python data and ML ecosystem (e.g., Pandas, NumPy, and libraries such as PyTorch, TensorFlow, or Scikit-learn).\nFamiliarity with RESTful APIs, web services, and third-party or system integrations.\nUnderstanding of AI model and prompt evaluation, monitoring, governance, security, and responsible AI principles.\nFamiliarity with Agile methodologies, DevOps practices, automated testing, or CI/CD pipelines.\nExposure to data engineering, ETL pipelines, or analytics platforms.\nExperience using AI-assisted development tools such as GitHub Copilot, Cursor, or similar.\n\nCompensation\nThe starting salary for this position is $80,000 based on relevant experience, skills, and industry knowledge.\n\nBenefits\nMedical, Dental, Vision, HSA, FSA- All effective on day 1!\nCompany paid Basic Life Insurance, A+D, Long-Term Disability, and Short-Term Disability\n401K Program with 3% safe harbor contribution\nEmployee Stock Purchase Program\nFitness Reimbursement Program\nSelf-Managed PTO\n\nOur Mission\nTo provide Human Capital Management (HCM) software and services that help companies grow, while nurturing a culture of growth around us.\nHelping customers grow by getting the most from their human capital.\nHelping our employees grow personally and professionally.\nGrowing relationships in our communities that inspire goodness.\nGrow shareholder value\n\nOur Vision\nBe the most trusted Human Capital Management resource to entrepreneurs everywhere.\n\nOur Values\nReflect who we are and what we stand for as a company.\nEmbrace Change\nLead with Integrity\nOwn the Outcome\nDeliver Awesome\nBe a Good Human\n\nWe are an equal opportunity employer. All candidates must be legally authorized to work in the US, as we are unable to sponsor or transfer Visas at this time.\n\nNO AGENCIES PLEASE\nAny unsolicited resumes sent to Asure Software from a third party, such as an Agency, including unsolicited resumes sent to Asure’s mailing address, fax machine or email address, directly to employees or hiring managers will be considered Asure property. Asure will not pay a fee for any placement resulting from the receipt of an unsolicited resume.","datePosted":"2026-08-06T09:45:14.029Z","dateModified":"2026-08-06T09:45:14.029Z","hiringOrganization":{"@type":"Organization","name":"Asure Software","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Addison","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"49943137041d43f1fb8ab8ec"},"url":"https://jobsearcher.com/jobs/49943137041d43f1fb8ab8ec"}}