Advanced GenAI Developer

6 days ago

ghaziabad, India beBeeAI Full time

Job Title: Advanced AI Engineer Key Responsibilities:Develop and deploy large-scale Generative AI, LLM-based systems, including intelligent agents and automation workflows.Optimize LLM integration for reasoning, summarization, and structured content generation.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, ensuring high performance, fault tolerance, and clean integration between AI components and backend systems.Design and maintain cloud-native, containerized, and event-driven architectures with Infrastructure-as-Code (IaC) practices.Establish model evaluation metrics, continuous validation workflows, and performance dashboards to ensure production reliability and drift detection.Leadership & Mentorship: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.Required Skills & Qualifications:Strong 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.Preferred Qualifications & Experiences:Bachelor'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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