Educational RequirementsBachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science

Responsibilities

- Assist in designing and implementing agentic architectures using LLMs and reasoning engines.
- Contribute to the development of multi-agent systems for task orchestration.
- Integrate external tools, REST APIs, and knowledge bases to augment agent capabilities.
- Write clean, well-documented Python code for agent logic and workflow components.
- Support testing, evaluation, and debugging of agent pipelines.
- Research agentic frameworks and prototype capabilities such as memory and planning modules.
- Collaborate with cross-functional teams to embed agentic AI into business applications.
- Additional Responsibilities: Positive to HaveExposure to RAG (Retrieval-Augmented Generation) pipelines.
- Familiarity with vector databases (Pinecone, Weaviate, Chroma).
- Basic knowledge of Docker and cloud environments (AWS, Azure,



or GCP).

Technical and Professional Requirements
- Solid Python programming with experience in AI/ML frameworks (PyTorch, TensorFlow, or Scikit-learn).
- Foundational understanding of LLMs and prompt engineering techniques.
- Exposure to at least one agentic framework: LangChain, LangGraph, AutoGen, or CrewAI.
- Basic knowledge of REST API integration and tool augmentation for agents.
- Familiarity with responsible AI principles and safety considerations in LLM systems.

Preferred Skills

Technology->OpenSystem->Python - OpenSystem->Python Technology->AI-AI Hyperscalers->Azure Agentic AI Services Technology->AI-AI Hyperscalers->Google Agentic AI Services Technology->AI-Agentic AI->Google Cloud Contact Center AI Technology->AI-AI Hyperscalers->AWS Agentic AI Services Technology->AI-Agentic AI->Agent Engineering Technology->AI-Agentic AI->AgentOps

📌 Agentic AI Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru