AI / Generative AI Engineer

Build LLM‑based copilots and intelligent assistants for enterprise use cases.Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data.Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic.Create and maintain backend APIs using Python frameworks such as FastAPI or Flask.Integrate enterprise platforms and external APIs into scalable AI solutions.Build data pipelines for ingestion, transformation, and embedding workflows.Implement and manage vector databases, ensuring performance and reliability.Establish evaluation frameworks to assess LLM output quality and relevance.Implement observability practices including tracing, logging, and monitoring.Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines.Deploy AI solutions on cloud platforms using containerisation and orchestration tools.Embed security, privacy, GDPR compliance, and Responsible AI principles into all solutions.