About this role
Lead and mentor a hybrid team of engineers and scientists owning the full agentic stack (LLM orchestration, tool use, memory, and production deployment), design and ship agentic LLM pipelines, build RAG/vector-store integrations and evaluation frameworks, and deploy scalable agent systems in production.
Skills for this role
People managementLLM promptingLLM fine-tuningInference optimizationNatural Language Processing (NLP)PythonPyTorchHugging FacevLLMLangGraphAutoGenCrewAIFunction callingStructured outputsHuman-in-the-loop mechanismsRetrieval-Augmented Generation (RAG)Vector storesEmbedding modelsMultimodal embeddingsLLM evaluation methodologySoftware engineeringGitContinuous Integration/Continuous Deployment (CI/CD)DockerKubernetesAgile methodologiesScrumKanbanComputer visionRust''Research collaboration''Open-source AI optimization