Generative AI / Agentic AI Engineer (all gender)
Core
Develop, implement, and test scalable Generative AI services, chatbots, and autonomous agents; deploy and maintain LLM infrastructure in secure on-premise environments.
Role type
Generative AI / Agentic AI Engineer
Builds
Scalable GenAI services, chatbots, autonomous agents, and RAG pipelines
Domain
Enterprise IT / Generative AI / On-premise Infrastructure
Deliverable
production ML models
Required skills
Python, LLM application development, GenAI frameworks, Inference engines (vLLM, SGLang), Vector databases (Qdrant, Chroma), RAG architectures, MCP concepts, Docker, Kubernetes, On-premise deployment
Preferred skills
CI/CD pipelines, Git, Logging and monitoring, Cybersecurity for AI systems
Technologies
vLLM, SGLang, Qdrant, Chroma, Docker, Kubernetes
Responsibilities
Develop and optimize RAG pipelines for internal knowledge databases; Implement MCP-based solutions for secure interfaces between AI models and internal systems; Support internal users with troubleshooting and technical consulting; Actively contribute to the technical roadmap and evaluate new AI use cases via PoCs
Seniority
Mid-Senior, hands-on IC