Advance Career Solutions
Agentic AI Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹2,000,000 – ₹2,750,000 / year
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
21 August 2026
What they need
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
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