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Agentic AI Engineer

  • Source: Naukri
  • Advance Career Solutions
  • $20,943.29 to $28,797.02 /yr
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Job Summary

We are seeking an innovative Agentic AI Engineer to design develop and deploy autonomous AI systems powered by Large Language Models LLMs AI Agents MultiAgent Frameworks and Generative AI technologies The ideal candidate will be responsible for building intelligent agents capable of reasoning planning tool utilization workflow orchestration decisionmaking and autonomous execution of complex business processes

Key Responsibilities

AI Agent Development

Design and develop AI Agents capable of autonomous task execution and decisionmaking

Build singleagent and multiagent systems for enterprise business use cases

Develop agent orchestration frameworks memory architectures and planning mechanisms

Implement toolcalling functioncalling and API integration capabilities for AI agents

Design agent workflows for customer support knowledge management automation and business operations

LLM  Generative AI Engineering

Integrate and optimize Large Language Models GPT Claude Gemini Llama Mistral etc

Develop RetrievalAugmented Generation RAG solutions using enterprise knowledge repositories

Build prompt engineering frameworks and guardrails for safe AI deployments

Finetune and evaluate LLM performance for domainspecific use cases

Implement conversational AI and intelligent assistants

AI Platform  MLOps

Design scalable AI architectures for production deployment

Build CICD and MLOps pipelines for AI models and agent lifecycle management

Monitor agent performance hallucinations accuracy latency and operational metrics

Implement model governance security compliance and responsible AI practices

Support cloudnative deployment of AI workloads

Enterprise Integration

Integrate AI agents with enterprise applications such as Salesforce SAP ServiceNow Microsoft 365 CRM ERP and custom applications

Develop APIbased integrations and workflow automation capabilities

Connect AI agents to structured and unstructured data sources

Required Skills

Strong expertise in

Generative AI

Large Language Models LLMs

Agentic AI Frameworks

Prompt Engineering

RAG Architecture

Handson experience with

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

OpenAI APIs

Azure AI Services

Programming proficiency in

Python

REST APIs

JSON

SQL

Experience with

Vector Databases Pinecone ChromaDB Weaviate FAISS

AI Orchestration Platforms

API Integration Frameworks

Preferred Skills

Experience building multiagent ecosystems

Knowledge of MLOps and LLMOps practices

Experience with Azure AWS or GCP AI platforms

Familiarity with Microsoft Copilot Studio Azure AI Foundry and enterprise AI platforms

Knowledge of Agent Security Governance and Ethical AI practices

Skills

  • claude-by-anthropic
  • Gemini
  • meta-llama
  • llama
  • guardrails
  • Salesforce
  • sap
  • Servicenow
  • LangChain
  • LangGraph
  • crewai
  • microsoft-azure
  • Python
  • JSON
  • FAISS
  • amazon-web-services
  • google-cloud-platform

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