On-siteMidAI EngineerJust posted

✦Role summaryAI-generated

The AI Engineer will design and deploy LLM-powered intelligent systems, integrating agent orchestration and embedding-based retrieval into cloud-native workflows. The role emphasizes scalable, production-ready GenAI solutions for real-world applications.

Skills required

LLMs Agent orchestration Embedding retrieval Cloud-native deployment Workflow orchestration Generative AI AI

About this role

Job Characteristics: Independently design, implement, and deploy intelligent systems powered by large language models (LLMs), agent orchestration frameworks, and embedding-based retrieval solutions. This role blends hands-on engineering with solution thinking — focusing on scalable workflows, cloud-native delivery, and real-world GenAI application integration.

Education/Work Experience: Degree and 2-4 years experience.

Independence Level/Reports to: Normally reports to AI Engineering Manager.

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