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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate AI Software Engineer - **Company:** Asure Software - **Location:** Addison, TX, United States - **Salary:** $80,000.0 - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Software Applications, Application Services, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Software Quality, Code Review, Computer Engineering, Information Engineering, Extract Transform Load (ETL), Data Structures, Data Stores, Cursor (Graphical User Interface Elements), Software Debugging, DevOps, Amazon DynamoDB, Python (Programming Language), Machine Learning, NoSQL, NumPy, Object-Oriented Software Development, Scrum Methodology, Tensorflow, Software Construction, Software Engineering, Systems Integration, TypeScript, Web Services, Google Cloud, Cloud Platform System, GitHub Copilot, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Git, Pandas, AI Platforms, Scikit Learn, Solid Principles, Information Technology, Data Management, Restful APIs, Software Version Control, Data Pipelines, Web Api - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=aad7eaf60ccf42f2 ## About the Role * 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, and how they are applied in software applications. * Familiarity with APIs and web services. * Familiarity with at least one major cloud platform (AWS preferred; Azure or Google Cloud Platform also relevant). * Basic understanding of data management concepts, including relational and NoSQL databases. * Experience using Git or other version control systems. * Strong problem-solving, analytical, and communication skills. * Ability to learn quickly and collaborate effectively in a team-oriented environment., * Hands-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. * Experience 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. * Exposure to LLM platforms and services such as Anthropic, Amazon Bedrock, OpenAI, Azure OpenAI, or Google Gemini. * Hands-on experience with AWS, particularly its AI/ML and application services (e.g., Amazon Bedrock, SageMaker, Lambda, DynamoDB). * Exposure to the Python data and ML ecosystem (e.g., Pandas, NumPy, and libraries such as PyTorch, TensorFlow, or Scikit-learn). * Familiarity with RESTful APIs, web services, and third-party or system integrations. * Understanding of AI model and prompt evaluation, monitoring, governance, security, and responsible AI principles. * Familiarity with Agile methodologies, DevOps practices, automated testing, or CI/CD pipelines. * Exposure to data engineering, ETL pipelines, or analytics platforms. * Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or similar. ## Description * 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. ## Related Videos - [Collaborative Intelligence: The Human & AI Partnership](https://www.wearedevelopers.com/videos/1097-collaborative-intelligence-the-human-ai-partnership) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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