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1 week ago

ballari, India beBeeDataScientist Full time

Job OverviewLocation: Remote (Applications open worldwide)Key ResponsibilitiesDesign and implement scalable search pipelines, graph-based retrieval, and agent-based systems.Deploy vector databases and embedding-based retrieval systems that can handle concurrent requests.Work on GenAI integrations including react agents, graph agents, prompt engineering, and LLM orchestration.Set up full-stack search engines from scratch that can handle real-world academic workloads.Contribute directly to the infrastructure that makes cutting-edge science more efficient.RequirementsStrong background in semantic search, vector databases, LLM frameworks, agent-based systems, and document retrieval.Proficient in Python for backend development with the ability to build scalable APIs and services.Past experience deploying production-level systems at scale, including search engines, retrieval pipelines, or embedding models.Ability to design infrastructure that serves hundreds of concurrent requests.Experience setting up and hosting APIs with public access while balancing speed, cost, and reliability.A research-driven and pragmatic mindset with a focus on measurable outcomes.CompensationCompetitive compensation package based on experience and expertise.How to ApplySend the following to careers@answerthis.io:Your resume.Details of past projects, especially production-level work with search, retrieval, or GenAI pipelines.A short note on why you want to design algorithms at this company.Applications without these will not be considered.Let's shape the future of research together.

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