About this role
Build scalable multi-modal LLM-based AI agents and research solutions such as RAG, semantic search, knowledge representation, tool usage, fine-tuning and reasoning, while deploying and automating models using a stack including Python, LlamaIndex/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, Docker, and Azure. Requires a Bachelor's in Computer Science or related field and 2-5 years' experience in MLOps/DevOps, familiarity with deep learning frameworks (PyTorch, JAX, TensorFlow), cloud platforms, and infrastructure-as-code tools like Terraform.
Skills for this role
LangGraphMicrosoft AutogenCrewaiRetrieval-Augmented GenerationSemantic SearchKnowledge RepresentationTool UsageFine-tuningReasoning in LLMsPythonLlamaIndexLangChainPyTorchHuggingFaceFastAPIPostgresSQLAlchemyAlembicOpenAIDockerAzureTypescriptReactLLMsNatural Language Processing (NLP)Machine LearningDataset DevelopmentModel DeploymentModel MonitoringModel Retraining Processes''MLOps''DevOps''JAX''TensorFlow''AWS''GCP''Ter