Generative AI Engineer

GenAI Engineer (Semantic Search & RAG Systems)

Location : Remote in India (to work in US Time zone)

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.

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

Nice-to-Have Qualifications

Sesheng Company is an Equal Opportunity Employer and values diversity. We encourage all qualified candidates to apply.