Overview Design develop and optimize autonomous AI agents that interact with systems users and APIs to perform complex tasks You will work at the intersection of LLMs agentic frameworks and cloud architectures developing self-improving AI workflows for automation coding and decision-making Responsibilities Robust Python Programming experience with AI ML frameworks such as TensorFlow PyTorch Design build and deploy AI agents using LangChain CrewAI LangGraph AutoGen or similar frameworks Integrate large language models LLMs GPT-4 o1 Claude Llama Mistral etc into multi-agent systems Develop multi-agent orchestration pipelines enabling collaboration between AI agents for complex task execution Knowledge of vector databases and embeddings for retrieval-augmented AI RAG Implement retrieval-augmented generation RAG with vector databases like Milvus Pinecone Azure AI Search with Vector Indexing Optimize AI workflows using Reinforcement Learning RLHF and function calling for improved reasoning and automation Integrate AI agents with APIs DevOps tools and existing workflows Ensure observability debugging and monitoring of AI agent behavior through logging frameworks Implement memory persistence for long-term agent interactions using graph-based memory or event stores Collaborate with cross-functional teams to embed AI agents into DevOps automation and software development processes Implement various prompt techniques including zero-shot few-shot chain-of-thought CoT and fine-tuning for optimized LLM performance Qualifications BEB-Tech

📌 Ai For Sdlc Architect (Telangana)
🏢 PepsiCo
📍 Telangana