AI Intern

Role SummaryTeceze is looking for enthusiastic and technically curious Artificial Intelligence Interns to support the design, development, testing and implementation of practical AI solutions.The internship will provide hands-on exposure to generative AI, large language models, machine learning, natural language processing, data analytics, intelligent automation and AI application development.Interns will work with Teceze’s technology, service delivery and business teams to identify suitable use cases, develop prototypes and convert successful concepts into secure and scalable solutions.This role is suitable for students or recent graduates who possess strong programming fundamentals, analytical thinking and a genuine interest in building production-oriented AI applications.Internship ObjectivesThe program is designed to help interns:Understand how AI is applied to real business and technology problems.Gain practical experience with generative AI and machine-learning technologies.Develop AI-powered applications, assistants and automation workflows.Work with structured and unstructured business data.Learn how AI solutions are evaluated, secured and deployed.Understand responsible AI, data privacy and information-security requirements.Collaborate within a professional software-development environment.Build demonstrable AI projects for a professional portfolio.Key ResponsibilitiesGenerative AI and Large Language ModelsAssist in developing applications using large language models.Build AI assistants, chatbots, copilots and knowledge-search tools.Develop and test prompts, prompt templates and system instructions.Experiment with model parameters and prompting techniques.Assist in implementing Retrieval-Augmented Generation solutions.Process internal documents and knowledge sources for controlled AI retrieval.Develop embeddings and vector-based search capabilities.Compare model responses for accuracy, relevance, consistency and safety.Help reduce hallucinations through grounding, validation and structured outputs.Explore AI-agent and tool-calling workflows under technical supervision.Machine Learning DevelopmentSupport the development of supervised and unsupervised machine-learning models.Prepare datasets for classification, prediction, forecasting or recommendation tasks.Perform feature selection and basic feature engineering.Train, validate and compare machine-learning models.Evaluate models using appropriate performance metrics.Assist in identifying overfitting, bias and data-quality limitations.Document experimental results and model decisions.Support the optimization of selected models for practical use.Data Collection and PreparationCollect, clean and organize structured and unstructured data.Identify incomplete, inconsistent, duplicated or inaccurate information.Transform raw data into suitable formats for analysis or model development.Create scripts for repeatable data-processing activities.Assist in labeling and categorizing data.Maintain clear documentation of datasets and processing steps.Follow data-retention, confidentiality and access-control requirements.Ensure that sensitive data is not used in unauthorized public AI tools.AI Application DevelopmentAssist in building AI-powered web applications and internal tools.Integrate AI models with applications through approved APIs.Develop backend components using Python or another approved language.Create simple user interfaces for AI prototypes.Connect applications to databases, document repositories and enterprise systems.Implement error handling, logging and input validation.Write modular, readable and maintainable code.Participate in code reviews and incorporate technical feedback.Support application testing and defect resolution.Automation and Business Process ImprovementAnalyze repetitive business processes that could benefit from AI or automation.Develop proof-of-concept solutions for document processing, classification and summarization.Assist in automating report generation, data extraction and information retrieval.Build workflows connecting AI models with business applications.Measure the time, cost and quality improvements produced by automation.Document the limitations, risks and dependencies of each proposed solution.Work with business users to validate whether a prototype addresses the intended requirement.Testing and EvaluationCreate test cases for AI applications and model outputs.Evaluate generated content for accuracy, relevance and completeness.Test applications with different prompts, documents and user scenarios.Identify hallucinations, unsafe outputs and inconsistent behavior.Assist in measuring retrieval quality and response accuracy.Conduct functional, integration and basic performance testing.Document defects and support troubleshooting.Validate improvements after prompt, model or application changes.Contribute to repeatable AI evaluation datasets and scorecards.Research and InnovationResearch developments in generative AI, machine learning and automation.Compare open-source and commercial AI models for approved use cases.Evaluate emerging frameworks, libraries and development techniques.Prepare short technical summaries and demonstrations.Recommend tools based on capability, cost, security and scalability.Participate in internal innovation sessions and hackathons.Present prototype results to technical and business stakeholders.Documentation and Knowledge SharingPrepare technical documentation for developed applications.Document architecture, data flows, prompts, APIs and configuration requirements.Create user guides and demonstration materials.Maintain source-code comments and project README files.Present project progress during regular review meetings.Share lessons learned and reusable technical components with the team.Ensure another developer can understand, reproduce and maintain the completed work.Potential AI Use Cases at TecezeInterns may contribute to projects such as:AI-powered IT service desk assistantsTicket classification and routingIncident summarization and resolution recommendationsKnowledge-base search assistantsCustomer-support chatbotsAutomated proposal and statement-of-work generationProcurement quotation analysisSupplier and product comparisonRecruitment résumé screening supportCandidate-to-job matchingSales lead research and qualificationContract and document summarizationCustomer sentiment analysisResource-demand forecastingEngineer scheduling and dispatch optimizationPredictive IT asset maintenanceSecurity-event analysisEmployee productivity assistantsBusiness intelligence and management reporting#teceze #ai