Description
This role will focus on building scalable Agentic data applications. <br/><br/>Key job responsibilities<br/>The successful candidate will be able to build scalable applications that help our stakeholders manipulate and understand datasets at scale. Applicants will be knowledgeable on data applications, SQL, python, ETL, with experience leveraging cloud-based data services such as Cloudfront, EC2, Fargate, Redshift, Airflow, Lambda, and similar technologies, and have exemplary communication skills.
<br/><br/>The candidate should have hands-on experience with AI/ML technologies, including large language models (LLMs), and a strong understanding of designing and building Agentic Frameworks — including autonomous agents, multi-agent orchestration, tool integration, and retrieval-augmented generation (RAG) pipelines. <br/><br/>The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will be passionate about working with huge data sets, leveraging AI-driven approaches to unlock insights, and someone who loves to bring data together to answer business questions and drive growth
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