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описание
The customer operates at the intersection of environmental services, scientific expertise, and technology, helping organizations address operational and sustainability challenges. Its activities include environmental monitoring, research, and data analysis. The project modernizes and consolidates a custom software platform used by a trade supervisory authority, including system completion, module migration, decommissioning redundant systems, and ongoing operational support. It also explores AI and low-code capabilities while maintaining secure on-premises infrastructure.
задачи
Design, develop, and integrate AI functions into business applications
Design prompts, prepare data for RAG, test AI, and monitor quality
Evaluate and monitor AI answers
Ensure GDPR and AI Act compliance
Support AI-assisted software development within the team
требования
At least 3 years of experience with LLMs such as GPT-4, Mistral, or LLaMA
Experience with prompt engineering, context and agentic engineering, and vibe coding
Experience with RAG tools such as FAISS, Qdrant, Milvus, or ChromaDB
Experience with Python and Spring AI
Experience with HuggingFace APIs
Strong knowledge of data processing, including OCR, embeddings, and vector storage
Experience evaluating and monitoring AI answers
Experience with GDPR and AI Act compliance
English proficiency at Intermediate+ level or above
German proficiency at Upper-Intermediate level or above
Будет плюсом: self-hosting open-weight LLMs (vLLM, Ollama) on-premises, OCR of German administrative documents (OZG inbox)
условия
Opportunity to change projects and develop expertise in a business domain
Professional, financial, and career growth opportunities; mentoring and onboarding systems for each new employee
Opportunity to earn up to an additional 1,000 EUR per month depending on expertise, included in the annual bonus, by participating in company activities
Access to the corporate training portal and its continuously updated knowledge base
Corporate events and amenities, including parties, pizza days, PlayStation, fruit, coffee, snacks, and movies
Certification compensation, including AWS and PMP
Referral program
Private health insurance and sports compensation, depending on the type of employment
