Associate AI Software Engineer

Who we are

Over 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.

How you will contribute

As 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.

This 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.

Much 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.

Major Duties and Responsibilities:

• Collaborate with engineers, product managers, and other stakeholders to build AI-powered software features that meet business and customer needs.
• Write clean, maintainable, well-tested Python code for applications, services, and APIs that leverage AI and LLM capabilities.
• Integrate large language models (LLMs) and AI services into software applications and business workflows, primarily within our AWS environment.
• Assist with prompt design, experimentation, evaluation, and validation of LLM-based features under the guidance of senior engineers.
• Contribute to the data pipelines and retrieval components (e.g., embeddings and vector search) that support AI features.
• Participate in code reviews and incorporate feedback to improve software quality, AI solution effectiveness, and your own technical skills.
• Assist with troubleshooting, debugging, monitoring, and resolving defects in AI-enabled applications and services.
• Work with relational, NoSQL, and vector data stores to support AI-driven solutions.
• Support the deployment and operation of AI applications and services in cloud (AWS) environments.
• Participate in Agile development activities, including sprint planning, stand-ups, and retrospectives.
• Follow 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.
  

Required Qualifications 

• Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, Information Technology, or a related technical field.
• Understanding of software development fundamentals, including object-oriented programming, data structures, algorithms, and software design principles.
• Proficiency 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.
• Foundational understanding of artificial intelligence, machine learning, or generative AI concepts, gained through coursework, certifications, projects, research, internships, or personal learning.
• Understanding of large language models (LLMs) and basic prompt engineering concepts