IN_Senior Associate_GenAI and Agentic AI Engineer_GCC_Advisory_Noida

Role Summary

Drive the design, development, and deployment of enterprise-grade agentic AI solutions built on a strong foundation of Java microservices, cloud-native architecture, and secure, scalable platforms. The role blends Agentic AI engineering with modern backend engineering practices to deliver production-ready, resilient, and governed AI systems, along with the ability to contribute to end-to-end application layers.

Responsibilities

• • Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks

  • Develop and optimize RAG systems for improved information retrieval and response generation

  • Create robust evaluation frameworks for testing agent performance and safety

  • Implement monitoring and logging systems for agent behavior

  • Develop documentation and best practices for agent development

  • Contribute to the improvement of agent architecture and capabilities

  Hands-on experience with:

  • Building and deploying autonomous agents

  • LangChain framework for developing applications

  • Retrieval Augmented Generation (RAG) systems

  • Large Language Models (LLMs) and their APIs

  • Solid understanding of safety principles and best practices

  • Resolving hallucinations in the outcomes

  Mandatory Skill sets:

  • Advanced Python programming with expertise in async programming and API developmenT

  • Experience with vector databases and embedding models

  • Proficiency in implementing RAG pipelines and knowledge retrieval systems

  • Familiarity with prompt engineering and LLM optimization techniques

  • Experience with development frameworks and tools

  • Knowledge of modern software development practices (Git, CI/CD, testing)

  Preferred Skill sets:

  • Multiple LLM providers (OpenAI, Anthropic, etc.)

  • Tools for agent orchestration and workflow management

  • Natural Language Processing (NLP) techniques

  • Container technologies (Docker, Kubernetes)

  • Understanding of semantic search and information retrieval concepts

  • Knowledge of agent alignment and safety considerations