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AI for SDLC Architect

AI for SDLC Architect

PepsiCo

5 - 9 years

0 Lacs

hyderabad telangana

Posted:2 days ago| Platform: Shine logo

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Skills Required

apis debugging monitoring collaboration python programming aiml frameworks tensorflow pytorch langchain crewai langgraph autogen large language models llms gpt4 claude llama mistral vector databases embeddings retrievalaugmented ai rag milvus pinecone azure ai search reinforcement learning rlhf devops tools observability graphbased memory event stores prompt techniques zeroshot fewshot chainofthought cot finetuning

Work Mode

On-site

Job Type

Full Time

Job Description

As an AI Agent Developer at our company, you will play a crucial role in designing, developing, and optimizing autonomous AI agents that interact with systems, users, and APIs to perform complex tasks. Your work will revolve around LLMs, agentic frameworks, and cloud architectures, focusing on developing self-improving AI workflows for automation, coding, and decision-making. Your key responsibilities will include: - Strong Python Programming experience with AI/ML frameworks such as TensorFlow, PyTorch. - Designing, building, and deploying AI agents using LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks. - Integrating large language models (LLMs) (GPT-4, GPT-5, Claude, Llama, Mistral, etc.) into multi-agent systems. - Developing multi-agent orchestration pipelines to enable collaboration between AI agents for complex task execution. - Implementing retrieval-augmented generation (RAG) with vector databases like Milvus, Pinecone, Azure AI Search (with Vector Indexing). - Optimizing AI workflows using Reinforcement Learning (RLHF) and function calling for improved reasoning and automation. - Integrating AI agents with APIs, DevOps tools, and existing workflows. - Ensuring observability, debugging, and monitoring of AI agent behavior through logging frameworks. - Implementing memory persistence for long-term agent interactions using graph-based memory or event stores. - Collaborating with cross-functional teams to embed AI agents into DevOps, automation, and software development processes. - Implementing various prompt techniques, including zero-shot, few-shot, chain-of-thought (CoT), and fine-tuning for optimized LLM performance. Qualifications: - BE/B-Tech Join us in this exciting journey of harnessing the power of AI to revolutionize automation, decision-making, and coding processes.,

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AI for SDLC Architect