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PFB Job description and kindly connect and let me know if interested or Share your CV on
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Responsibilities:
- Collaborate with cross-functional teams to understand business requirements and identify opportunities to apply Agentic AI and Generative AI (GenAI) solutions to solve complex enterprise problems.
- Design, develop, and implement advanced GenAI and Agentic AI systems, including ReAct agents (Reasoning + Acting frameworks), multi-agent architectures, and autonomous AI workflows.
- Build and deploy intelligent AI-powered chatbots and conversational agents using LLMs, tool-calling frameworks, retrieval-augmented generation (RAG), memory modules, and agent orchestration patterns.
- Ensure consistency, reliability, and alignment in AI-generated outputs through prompt engineering, evaluation frameworks, guardrails, and monitoring mechanisms.
- Develop and implement machine learning models and algorithms to support GenAI applications, including fine-tuning, embeddings, and hybrid AI architectures.
- Perform data cleaning, preprocessing, and feature engineering to prepare structured and unstructured data for machine learning and GenAI pipelines.
- Collaborate with data engineers to design effective data pipelines and integrate ML/LLM systems into scalable production environments.
- Validate and evaluate model and agent performance using appropriate metrics (accuracy, latency, hallucination rate, consistency scoring, human evaluation frameworks).
- Develop and deploy production-ready AI applications using object-oriented programming principles, ensuring modularity, scalability, maintainability, and robustness.
- Implement containerized AI solutions using Docker and Kubernetes for orchestration, scaling, and cloud-native deployments.
- Design and implement tool-augmented agents, API-integrated workflows, and autonomous decision-making systems using modern AI agent frameworks.
- Create dashboar
📌 LLM (Delhi)
🏢 PwC
📍 Delhi