Job Description
Architect Agentic AI Solutions: Design modular systems that integrate LLMs and support multi-step reasoning, retrieval-augmented generation, and tool use.AI Model Integration: Select and embed suitable models (e.g., GPT-5, custom LLMs) into scalable platforms.Agent Development: Build agents capable of research, summarization, and action execution.Infrastructure & Scalability: Use Docker/Kubernetes for containerization and ensure robust monitoring and security.Responsible AI Practices: Implement guardrails like content filters, logging, and data protection compliance.Customer Collaboration: Translate business needs into technical AI solutions and advise on use cases.Continuous Optimization: Analyze agent errors, refine prompts, and improve model performance.
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