Senior AI Solutions Architect

3 days ago

lucknow, India beBeeSeniorGenAIEngineer Full time

Unlock the Power of AI EngineeringWe are seeking an experienced Senior GenAI Engineer to join our team in designing and developing large-scale Generative AI, LLM-based systems.About This RoleThis is a challenging opportunity for skilled professionals who want to push the boundaries of AI technology. The successful candidate will be responsible for architecting, developing, and deploying complex AI systems, as well as integrating and optimizing large language models.Key Responsibilities:AI System Design & Development:Design, develop, and deploy large-scale Generative AI, LLM-based systems, including intelligent agents and automation workflows.LLM Integration & Optimization: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.Knowledge & Retrieval Systems:Design and implement retrieval-augmented and context-aware AI pipelines, combining embeddings, semantic search, and hybrid retrieval methods.Backend Engineering: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.Data Pipelines & Processing:Develop and manage pipelines to extract, process, and transform unstructured data (code, documents, text) into AI-ready formats.Infrastructure & Deployment: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.Model Evaluation & Monitoring: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.RequirementsTo succeed in this role, you must have:Strong Proficiency in Python and TypeScript: A solid background in backend or API development is required.Proven Experience in LLM-Based Application Design: You should have experience in Generative AI workflows or AI agent systems.Understanding of Retrieval-Augmented Generation (RAG): Familiarity with semantic/embedding-based search principles is essential.Experience Building Scalable Cloud-Native Services: You should be able to design and maintain cloud-native, containerized, and event-driven architectures.Familiarity with MLOps Principles: Model lifecycle management, evaluation, and continuous improvement are crucial skills.BenefitsWe offer a competitive salary, comprehensive benefits package, and opportunities for growth and professional development.],

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