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1 day ago

guntur, India beBeeArtificialIntelligence Full time

Job Title: AI System ArchitectLocation: Flexible/Hybrid/RemoteExperience: 6+ YearsEmployment Type: Full-timeAbout the RoleWe are seeking an experienced AI System Architect to lead the development and scaling of cutting-edge AI solutions. You will play a key role in designing architecture, building scalable pipelines, and enabling production-grade AI systems that deliver real impact.This is a highly technical role that requires deep expertise in Python, cloud-native AI systems, vector databases, orchestration frameworks, and production ML.Responsibilities:Architect and build scalable LLM-powered applications, including chatbots, RAG systems, and AI decision-support tools.Develop autonomous agents and multi-agent systems for internal and client needs.Implement AIOps frameworks to monitor and improve production AI systems.Build and optimize data pipelines, ML workflows, APIs, and backend services using Python & SQL.Deploy scalable systems using AWS, Docker/Kubernetes, CI/CD, and IaC tools.Collaborate with cross-functional teams to define requirements and deliver AI capabilities at scale.Mentor engineers and contribute to organizational AI strategy.Stay updated on emerging LLM frameworks, agentic workflows, and ML infrastructure advancements.Required Skills and QualificationsBachelor's/Master's in Computer Science, Engineering, or a related field.6+ years of experience in AI/ML Engineering with real-world production systems.Strong experience developing and scaling LLM apps, RAG, agents, and AI-driven apps.Excellent programming skills in Python & SQL.Experience with AWS, Kubernetes, Docker, CI/CD, IaC.Experience with vector databases (FAISS, Pinecone, Chroma, etc.).Strong understanding of software architecture and system design.Excellent communication and team collaboration skills.BenefitsOpportunity to work on cutting-edge AI projects.Collaborative and dynamic work environment.Professional growth and development opportunities.OthersExperience with real-time or event-driven architectures.Exposure to LangChain, LangGraph, CrewAI, or agent frameworks.Experience with MCP or a2a protocols.Experience leading or mentoring junior engineers.

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