AI-engineers til praktisk implementering af AI-løsninger
Core
Hands-on AI engineer implementing practical AI and GenAI solutions (LLMs, RAG, agents) for business needs across various sectors.
Role type
Senior IC AI engineer (implementation & integration)
Builds
Production-ready AI solutions, prototypes, and integrated models for client projects
Domain
Consulting, Enterprise AI, GenAI
Deliverable
production ML models
Required skills
AI/GenAI implementation, LLMs, RAG architectures, agent-based solutions, model integration with data/APIs, Python programming, cloud environments (Azure/AWS/GCP)
Preferred skills
End-to-end AI prototyping, vector databases (Vertex AI, Weaviate, Pinecone), frontend prototyping (React), AI/agent frameworks (LangChain), AI evaluation/observability (RAGAS), vibe-coding tools (Copilot, Codex), MLOps/LLMOps, client consulting
Technologies
Python, LLMs, RAG, LangChain, React, Vertex AI, Weaviate, Pinecone, RAGAS, GitHub Copilot, Azure, AWS, GCP
Responsibilities
Design, develop, and test AI/GenAI solutions for specific business needs; Integrate AI models with data, APIs, and existing system landscapes; Advise clients on technical maturity and scaling of AI tools; Contribute to AI architecture, quality, and responsible AI usage; Share knowledge within the AI community
Seniority
Mid-to-Senior, hands-on IC