AI Developer Intern

Requirement ID#: 2026_06_AIDI Job Type: Internship Hybrid Opportunity: Must live in the Washington, D.C. Metropolitan area to be considered. Company Overview iCatalyst, Inc. is a next-generation technology company specializing in Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning (ML), and Robotic Process Automation (RPA). Since 2007, we’ve partnered with federal and commercial clients to deliver innovative products and services that drive mission success, operational efficiency, and digital transformation. Our solutions are built on a foundation of agility, security, and scalability, guided by our CMMI ML 3 DEV framework and backed by globally recognized certifications in ISO 9001:2015 (Quality Management) and ISO/IEC 27001:2022 (Information Security). We specialize in AI-Driven Digital Transformation, Cloud and Infrastructure Modernization, Data Engineering and Advanced Analytics, Enterprise IT Modernization and Mission-Focused Program and Change Management. We have an exciting opportunity for an AI Developer Intern to join our team to support federal and corporate projects. Job Responsibilities Some high-level duties include but are not limited to: Support the design, development, and testing of AI-powered applications and automated AI governance workflows using AI services, using enterprise tools such as Power Apps/Automate, Azure AI, under the guidance of senior team members. Assist with prototyping AI solutions and experimenting with model behaviors, prompts, and workflows for internal and client-facing use cases. Help build and test LLM-based solutions such as chatbots, copilots, retrieval-augmented generation (RAG) workflows, and AI-enabled automations. Contribute to backend development tasks using Python, including scripts, lightweight APIs, and integrations that support AI features. Assist with data preparation, ingestion, and evaluation activities to improve the performance and usability of AI applications. Assist in creating dashboards and reporting in Power BI to track AI governance activities, model usage, process performance, and key risk/compliance indicators. Participate in testing, debugging, and documenting AI features to support reliable deployment and knowledge sharing. Collaborate with cross-functional teammates including engineering, product, and business stakeholders while learning software development best practices. Contribute to technical documentation, demos, and presentations summarizing project progress, findings, and recommendations. Follow secure coding and responsible AI practices appropriate for enterprise and federal environments. Required Skills Current enrollment in a bachelor’s or master’s program in Computer Science, Computer Engineering, Data Science, or a related STEM field. Coursework, academic projects, or personal projects demonstrating interest in AI/ML, generative AI, natural language processing, or software development. Foundational programming skills in Python and familiarity with software development concepts such as APIs, debugging, version control, and testing. Exposure to AI/ML tools, libraries, or platforms. Interest in building LLM-based applications such as chatbots, copilots, search experiences, or workflow automations. Basic understanding of cloud platforms, data handling, and prompt engineering concepts is preferred. Strong problem-solving ability, curiosity, and willingness to learn quickly in a fast-paced technical environment. Strong organizational and time management skills, with the ability to prioritize tasks and deliver high-quality work in fast-paced environments. Good communication and collaboration skills, with the ability to work effectively with mentors and cross-functional teams. Strong attention to detail and ability to manage multiple assignments, deadlines, and priorities. Experience/Qualifications Must be a current college or university student pursuing an undergraduate or graduate degree in a relevant technical field. Academic, research, hackathon, or personal project experience in software engineering, AI/ML, data science, or generative AI is strongly preferred. Demonstrated interest in applying AI to real-world business, enterprise, or public sector use cases. Experience with cloud platforms, web applications, or data/AI tooling through coursework or projects is a plus. Preferred Certifications: Microsoft Azure AI Fundamentals or similar entry-level AI/cloud certification Relevant student credentials, bootcamps, or online coursework in AI/ML, cloud, or software development Participation in university labs, technical clubs, hackathons, or open-source projects is a plus Education Currently pursuing a bachelor’s or master’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related STEM field from an accredited university. Contract/Customer Federal Agency and Corporate projects #J-18808-Ljbffr iCatalyst Inc