Intermediate AI Engineer (m/w/d)
Core
Design and develop AI-supported backend systems, orchestrate autonomous multi-agent systems, and implement knowledge structures for semantic search and RAG architectures.
Role type
Intermediate AI Engineer (LLM & Multi-Agent Systems)
Builds
AI-powered backend services, autonomous agent systems, and semantic search pipelines for client projects.
Domain
Generative AI, Software Development, Enterprise Solutions
Deliverable
production ML models | product features
Required skills
Python, LLM orchestration (LangChain, LlamaIndex), API design (REST, GraphQL), Vector databases, semantic search, RAG architectures, multi-agent system frameworks (CrewAI, AutoGen)
Preferred skills
Data pipeline optimization, DevOps basics (Docker, CI/CD), Agile methodologies
Technologies
Python, LangChain, LlamaIndex, FastAPI, CrewAI, AutoGen, VectorDBs, Docker, Git
Responsibilities
Conceive and develop AI-supported backend systems; orchestrate autonomous agent systems; implement semantic search and RAG architectures; design and optimize data pipelines; support AI feature development from concept to integration; identify and implement value-driving AI use cases with clients.
Seniority
Intermediate, hands-on IC