LLM Operations Engineer
Core
Design and build multi-agent AI systems, LLM applications, and autonomous assistants using prompt engineering, orchestration, and RAG pipelines.
Role type
Senior IC LLM Operations Engineer (Multi-Agent Systems)
Builds
Scalable AI solutions, agentic workflows, and enterprise copilots
Domain
Generative AI, Industrial, Energy, IoT
Deliverable
production ML models
Required skills
Python, Multi-agent orchestration, LLM evaluation frameworks, Knowledge graphs, Prompt engineering, Cloud platforms (Azure/AWS/GCP), Containerization (Docker/Kubernetes)
Preferred skills
Domain experience in industrial, energy, or IoT environments
Technologies
OpenAI, Hugging Face Transformers, LangChain, AutoGen, CrewAI, Semantic Kernel, FAISS, Pinecone, Weaviate
Responsibilities
Design multi-agent collaboration protocols, optimize latency/cost/accuracy, ensure AI safety and governance, deploy scalable AI solutions with LLMOps practices
Seniority
Senior, hands-on IC
