Generative AI Engineer

GenAI Engineer (Semantic Search & RAG Systems) Sesheng Company is looking for a skilled and driven GenAI Engineer to join our team on a contract basis. You will be instrumental in designing and deploying a cutting-edge semantic search capability to power our next generation of enterprise AI applications. This role is perfect for an engineer who thrives on building production-ready LLM-powered retrieval systems from the ground up. Location: US Remote As a GenAI Engineer, your primary focus will be on the end-to-end development of Retrieval-Augmented Generation (RAG) systems. You will leverage Amazon Bedrock, OpenSearch, and advanced vector embedding pipelines to deliver highly relevant and performant search and retrieval services. Key Responsibilities • Design and implement robust semantic search architectures utilizing Amazon Bedrock and OpenSearch (specifically k-NN indexing and vector embeddings). • Build automated embedding pipelines for data ingestion and indexing using core AWS services like Lambda, S3, and API Gateway. • Integrate multimodal embeddings (e.g., Titan Multimodal or similar models) to enable high-relevance search across both text and image data. • Develop scalable REST APIs for handling semantic queries, sophisticated result ranking, and hybrid search (combining semantic relevance with filters). • Collaborate closely with backend and data engineering teams to seamlessly integrate developed AI services into existing enterprise applications. • Lead efforts in search relevance testing, optimization, and comprehensive technical documentation. Required Skills & Experience • Expert-level proficiency in Python and developing robust, scalable REST APIs. • Proven experience working with Amazon Bedrock, OpenSearch, and various vector databases ( Weaviate, Pinecone, etc.). • Deep technical understanding of LLM architectures, embeddings, and designing RAG pipelines. • Practical experience with key AWS services including Lambda, API Gateway, S3, and Step Functions. • Demonstrated ability to evaluate embedding quality, perform iterative tuning, and optimize search relevance. • Strong problem-solving, communication, and collaboration skills, particularly in agile and fast-paced environments. Nice-to-Have Qualifications • Familiarity with PostgreSQL or experience using workflow automation tools like n8n. • Experience successfully integrating and deploying AI features into production web or large-scale enterprise systems. Sesheng Company is an Equal Opportunity Employer and values diversity. We encourage all qualified candidates to apply.