Agentic AI Engineer

Advance Career Solutions

Hyderabad, Pune District, Bengaluru

Hybrid

INR 2,500,000 - 4,500,000

Full time

14 days+

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Job summary

Advance Career Solutions seeks an innovative Agentic AI Engineer to design, develop and deploy autonomous AI systems powered by LLMs, AI agents, multi-agent frameworks and Generative AI tech. The role involves reasoning, planning, tool usage, workflow orchestration and autonomous execution of complex business processes.

You will build single-agent and multi-agent systems, integrate APIs, design agent workflows for enterprise use, and apply MLOps practices for scalable production.

Qualifications

  • Strong expertise in Generative AI.
  • Strong expertise in Large Language Models (LLMs).
  • Experience with Agentic AI Frameworks.
  • Proficient in Prompt Engineering.
  • Knowledge of RAG architecture and retrieval augmented generation.

Responsibilities

  • Design and develop AI Agents capable of autonomous task execution and decisionmaking.
  • Build single-agent and multi-agent systems for enterprise use cases.
  • Develop agent orchestration frameworks and planning mechanisms.
  • Implement toolcalling, functioncalling and API integration for AI agents.
  • Design agent workflows for customer support and business operations.

Skills

Generative AI
LLMs
Agentic AI Frameworks
Prompt Engineering
RAG Architecture

Tools

LangChain
LangGraph
Semantic Kernel
AutoGen
CrewAI
OpenAI APIs
Azure AI Services

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
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