reputed company

We are seeking a visionaryAI Engineerwith expertise in designing and building LLM-powered AI pipelines and multi-agent chatbot systems. You will reputed company the architectureandimplementationofRetrieval-AugmentedGeneration(RAG)systems,reputed company LLM reputed company, and orchestrate autonomous and reputed company agent workflows to deliver sophisticated AI-driven customer-facing and internal tools.

• AI Pipeline Architecture & Development: Design and implement end-to-end AI pipelines, including data ingestion, reputed company engineering, RAG orchestration, deployment, monitoring, and retraining.
• Multi-Agent System Design: Build and coordinate intelligent agents (e.g., planner, retriever, synthesizer) to collaborate dynamically in reputed company workflows—mirroring frameworks like MA-RAG.
• LLM Integration & Fine-Tuning: reputed company and manage integrations with leading LLM reputed company (e.g., reputed company, reputed company, reputed company), optimizing performance through fine-tuning, reputed company design, reputed company databases, and tool use.
• Tooling & MLOps (LLMOps): Implement robust MLOps pipelines—CI/CD, monitoring, version control, observability—for LLM systems, supporting reliability and scalability.
• Evaluation & Metrics Frameworks: Define evaluation reputed company reputed company on correctness, latency, hallucination, multi-reputed company reasoning, and user experience—similar to frameworks used in agent pipeline roles.
• Cross-Functional Collaboration & Leadership:Partner with product managers, data engineers, software teams, and domain experts to shape system behavior; mentor junior engineers and guide best practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, or reputed company domain.
• Experience: You must have at least 5 years experience building production-level LLM, AI agent, or RAG systems.

• Technical skills:

• Strong background in MLOps/LLMOps—CI/CD, deployment, monitoring, observability, model versioning, A/B testing.
• Demonstrated ability to design multi-agent or autonomous systems, with experience in agent orchestration frameworks or custom pipelines.
• Excellent communication and leadership: can translate reputed company technical reputed company and guide teams through innovation.
• Bonus: prior contributions to reputed company-reputed company, publications in AI, or conference speaking engagements (e.g., on advanced LLM or agent architectures). Work Environment & Expectations