Advanced AI Systems Architect

5 days ago

coimbatore, India beBeeGenaiengineer Full time

Senior GenAI EngineerWe are seeking an experienced Senior GenAI Engineer to join our team.About the RoleThe ideal candidate will have a strong background in developing and deploying large-scale Generative AI, LLM-based systems, including intelligent agents and automation workflows. They will be responsible for architecting, designing, and implementing retrieval-augmented generation (RAG) and semantic/embedding-based search principles.Key Responsibilities:Architect, develop, and deploy large-scale Generative AI, LLM-based systems, including intelligent agents and automation workflows.Integrate and optimize large language models for reasoning, summarization, and structured content generation.Apply prompt design, fine-tuning, and evaluation strategies to ensure reliable and domain-aware outputs.Design and implement retrieval-augmented and context-aware AI pipelines, combining embeddings, semantic search, and hybrid retrieval methods.Build robust, scalable backend services and APIs using TypeScript and Python, including real-time communication and data streaming capabilities.Ensure high performance, fault tolerance, and clean integration between AI components and backend systems.Develop and manage pipelines to extract, process, and transform unstructured data (code, documents, text) into AI-ready formats.Design and maintain cloud-native, containerized, and event-driven architectures with Infrastructure-as-Code (IaC) practices.Collaborate with DevOps teams to implement CI/CD, observability, and environment automation.Establish model evaluation metrics, continuous validation workflows, and performance dashboards to ensure production reliability and drift detection.Lead design discussions, perform technical reviews, and mentor AI engineers.Collaborate cross-functionally with product and platform teams to translate AI capabilities into production-grade solutions.RequirementsStrong proficiency in Python and TypeScript, with a solid background in backend or API development.Proven experience in LLM-based application design, Generative AI workflows, or AI agent systems.Understanding of retrieval-augmented generation (RAG) and semantic/embedding-based search principles.Experience building scalable cloud-native services, including event-driven or asynchronous architectures.Familiarity with infrastructure automation, container orchestration, and CI/CD pipelines.Exposure to MLOps principles — model lifecycle management, evaluation, and continuous improvement.Strong problem-solving, analytical, and architectural reasoning skills.Excellent communication, collaboration, and mentoring abilities.Bonus PointsBachelor's or Master's degree in Computer Science, Artificial Intelligence, or related disciplines.3+ years of professional experience in AI/ML software engineering, including 2+ years in Generative AI or LLM-based systems.Previous experience leading small engineering teams or driving architectural decisions is highly preferred.

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