{"id":1951340,"url":"https://alion.io/job/wedded-wonderland-ai-product-intern","title":"AI Product Intern","company":{"id":2797676,"name":"Wedded Wonderland","domain":"weddedwonderland.com","url":"https://alion.io/company/weddedwonderland","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sydney, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":95000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Google Workspace","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"ChatGPT","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-06T10:09:38Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-11-05T05:35:41Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"About the Internship\nWonder Group is looking for ambitious AI Engineering Interns to join our team and help build the next generation of AI-powered business systems across Wedded Wonderland and Liviti.\nThis is not a research-only internship or a prompt-writing role. You'll work alongside experienced AI engineers to build, test, and improve real AI workflows that automate business processes, enhance customer experiences, and improve internal operations.\nIf you're passionate about artificial intelligence, automation, software engineering, and solving real business problems, this internship offers an opportunity to gain hands-on experience with production AI systems.\nWhat You'll Work On\nDuring your internship, you'll contribute to projects such as:\nAI workflow automation\n\nCRM and sales process automation\n\nLead qualification and enrichment\n\nAI-powered research agents\n\nContent generation and SEO automation\n\nInternal productivity tools\n\nCustomer support assistants\n\nBusiness data enrichment\n\nAPI integrations between AI tools and business platforms\n\nTesting and improving AI agents\n\nKey Responsibilities\nAssist in building and testing AI-powered workflows.\n\nDevelop simple applications using Large Language Models (LLMs).\n\nConnect AI solutions with APIs, spreadsheets, databases, and business tools.\n\nSupport prompt optimization, structured outputs, and workflow automation.\n\nHelp document AI systems, processes, and technical implementations.\n\nDebug and improve existing AI workflows.\n\nResearch new AI tools, frameworks, and technologies.\n\nCollaborate with engineering, product, marketing, and operations teams.\n\nParticipate in code reviews, sprint planning, and project discussions.\n\nEnsure AI solutions are accurate, reliable, and aligned with business requirements.\n\nTechnologies You'll Learn\nDepending on your background and assigned projects, you may gain experience with:\nOpenAI API\n\nAnthropic Claude\n\nLangChain\n\nLangGraph\n\nCrewAI\n\nMCP\n\nPython\n\nTypeScript\n\nREST APIs\n\nVector databases\n\nWorkflow automation platforms\n\nGit & GitHub\n\nGoogle Workspace integrations\n\nWhat We're Looking For\nWe're looking for students or recent graduates who have:\nBasic programming knowledge (Python preferred).\n\nInterest in Artificial Intelligence and Machine Learning.\n\nFamiliarity with APIs or automation tools is a plus.\n\nStrong analytical and problem-solving skills.\n\nCuriosity and willingness to learn new technologies quickly.\n\nGood communication skills.\n\nAbility to work independently in a remote environment.\n\nPassion for building practical solutions instead of simply experimenting with AI tools.\n\nNice to Have\nPersonal AI projects or hackathon experience\n\nExperience with GitHub\n\nFamiliarity with ChatGPT APIs or other LLMs\n\nExperience with no-code or low-code automation tools\n\nKnowledge of JavaScript or TypeScript\n\nExperience building small web applications\n\nLearning Outcomes\nBy the end of the internship, you will have:\nBuilt and deployed AI-powered workflows.\n\nWorked with production-grade AI technologies.\n\nIntegrated AI with real business systems.\n\nCollaborated on cross-functional projects.\n\nDeveloped a portfolio of practical AI applications.\n\nGained experience using modern AI engineering tools and best practices.\n\nWhat Success Looks Like\nWithin three months, successful interns will:\nDeliver at least one functional AI workflow or automation project.\n\nContribute meaningful code or documentation to active projects.\n\nDemonstrate proficiency in AI APIs and workflow automation.\n\nPresent their completed internship project to the engineering team.\n\nShow growth in software engineering and AI development skills.\n\nWhy Join Wonder Group?\nWork on real-world AI products with immediate business impact.\n\nLearn from experienced AI engineers and product leaders.\n\nGain exposure to modern AI frameworks and production systems.\n\nBuild a strong portfolio with meaningful projects.\n\nReceive mentorship, feedback, and hands-on experience in a fast-paced startup environment.\n\nOutstanding interns may be considered for future full-time or extended internship 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