Expert in Artificial Intelligence Solutions

1 day ago


hubballi, India beBeeArtificialIntelligence Full time

Senior AI ArchitectJob Title: Senior AI Engineer (REMOTE)Location: [Hybrid/Remote/Onsite — Add as needed]Experience: 6+ YearsEmployment Type: Full-timeAbout the RoleAs a seasoned Senior AI Architect, you will lead the development and scaling of cutting-edge AI solutions involving LLMs, RAG systems, AI agents, and autonomous workflows.Key responsibilities include 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.ResponsibilitiesArchitect 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 QualificationsBachelor's/Master's in Computer Science, Engineering, or a related field6+ years of experience in AI/ML Engineering with real-world production systemsStrong experience developing and scaling LLM apps, RAG, agents, and AI-driven appsExcellent programming skills in Python & SQLExperience with AWS, Kubernetes, Docker, CI/CD, IaCExperience with vector databases (FAISS, Pinecone, Chroma, etc.)Strong understanding of software architecture and system designExcellent communication and team collaboration skillsNice-to-Have SkillsExperience with real-time or event-driven architecturesExposure to LangChain, LangGraph, CrewAI, or agent frameworksExperience with MCP or a2a protocolsExperience leading or mentoring junior engineers



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