Location: AarhusHours: 15–20 hours/weekStart: SeptemberEngineer Real-World AI Agents for WasteHeroWasteHero is scaling fast and making AI agentic automation a core company strength. We’re looking for a student with serious software skills to help us build, ship, and own agent-powered automations and LLM integrations—using real company data, not toy projects. You will design, implement, and deploy agent workflows and GenAI tools that deliver business-critical results. You’ll work directly with management and technical team. What You'll DoBuild, test, and deploy agentic automation flows using Python (or similar mainstream language), open-source GenAI/LLM frameworks (LangChain, FlowiseAI, CrewAI, etc.
), and APIs. Develop and integrate data pipelines: web scraping, document loaders, database connections, vector DBs (e. g. , Pinecone, ChromaDB), and workflow automation. Prototype and launch tools: agent-based web scraping (e. g. , tender detection), knowledge chatbots (RAG, prompt engineering), automated document classification, content production (e. g. , marketing automation, LinkedIn, etc. ), and more. End-to-end execution: from initial research and spec, to coding, deployment, and maintenance—your solutions must work in production. Collaborate closely with management and technical leads to define requirements, iterate, and deliver on mission-critical projects. QualificationsCurrently studying software engineering, computer science, data science, or similar technical degree.
Strong programming ability (Python highly preferred; JS/Node/Java/C# also considered if your GenAI/agent work is strong). Hands-on experience with LLMs, GenAI APIs, agentic development frameworks (e. g. , LangChain, FlowiseAI, CrewAI, OpenAI, HuggingFace, etc. ). Skilled with APIs, web scraping (BeautifulSoup, Playwright, Selenium, etc. ), data parsing, and workflow automationCan work independently: take a project from idea to working script/app with minimal hand-holding. Bonus SkillsKnowledge of prompt engineering, RAG, and vector databases (Pinecone, ChromaDB, Weaviate, etc.
)Experience with cloud deployment, Docker, or CI/CDBuilt and deployed AI chatbots, automations, or custom tools in the real worldUnderstanding of workflow tools like Make. com, Zapier, Airflow, or n8nWhy WasteHero?Real code, real impact: Your agents and automations will go live—no busywork. Direct access: Work closely with management and technical leads to define and deliver what matters. Learning by doing: Move faster, learn more, and build a portfolio of real GenAI/agentic projects. Career growth: Top performers will have opportunities for advanced roles as WasteHero scales. ProcessIf shortlisted, you’ll receive a practical case (e. g.
, design an agent to scrape and analyze public tenders using real sources and CPV codes). You’ll present your architecture, show your code/design, and answer technical questions from our tech team and management. We are only looking for hands-on engineers who build and ship real AI agentic solutions. If you want to code, automate, and own end-to-end agent projects with direct business impact, than this is the job for you. Apply now.
Customize your resume to highlight skills and experiences relevant to this specific position.
Learn about the company's mission, values, products, and recent news before your interview.
Ensure your LinkedIn profile is complete, professional, and matches your resume information.
Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.
