GenAI Engineer (m/w/d)
Core
Design and implement next-generation GenAI solutions, including RAG architectures, agentic workflows, and generative AI use cases.
Role type
Senior GenAI Engineer (LLM & Agent Orchestration)
Builds
Production-ready GenAI applications, scalable LLM deployments, and integrated business process solutions.
Domain
Generative AI, Large Language Models (LLMs), and Enterprise Software
Deliverable
production ML models
Required skills
Python, LLM/Agent Orchestration (LangChain, LangGraph, LlamaIndex), Prompt Engineering, Vector Databases (Pinecone, Weaviate), Cloud AI Services (Azure OpenAI, AWS Bedrock, GCP Vertex AI), Docker/Kubernetes, Deep Learning (PyTorch, TensorFlow)
Preferred skills
MLOps, Data Engineering, Frontend (Streamlit, React), Regulated industry experience (Banking, Insurance)
Technologies
LangChain, LangGraph, PydanticAI, Google ADK, OpenAI Agent SDK, Pinecone, Weaviate, Milvus, Chroma, Azure OpenAI, AWS Bedrock, GCP Vertex AI, Docker, Kubernetes, PyTorch, TensorFlow
Responsibilities
Design and implement RAG architectures and agentic workflows; Fine-tune LLMs and integrate them into business processes; Build and optimize data foundations for agents and vector databases; Ensure stability and evaluate model outputs (Guardrails); Collaborate with business analysts and software engineers to embed AI into software ecosystems.
Seniority
Senior, hands-on IC
