About the role
TL;DR
Lead Generative AI initiatives, focusing on document intelligence and RAG pipelines.
- •As a Senior AI Engineer, you will lead our Generative AI initiatives, focusing on document intelligence and RAG pipelines.
- •Key Responsibilities Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using Google Cloud Vector Search or Pinecone Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field 5+ years of experience in AI/ML Proven track record of deploying GenAI products to a production environment Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus Knowledge of Data Engineering and SQL
Required skills
PythonLangChainLLMsGoogle CloudVertex AIMLflowKubeflowSageMakerONNXJAXPandasNumPySQLDatabricksFivetran
Nice-to-have skills
SQLMLflowKubeflowSageMakerONNXJAXPandasNumPyDatabricksFivetran
Domain expertise
ai
Tech stack
PythonLangChainGoogle CloudVertex AILLMsMLflowKubeflowSageMakerONNXJAXPandasNumPySQLDatabricksFivetranDagsterPrefectApache KafkaApache FlinkPostgreSQLMySQLMongoDBRedisElasticsearchDynamoDBCassandraSQLiteOracleSQL ServerNeo4j
