Agentic AI Engineer

Job Description: Agentic AI Engineer

Position Title: Agentic AI Engineer
Experience Required: 2–3 Years
Employment Type: Full-Time (Work From Home)
Work Mode: Remote
Compensation: ₹500 – ₹650 per hour (Weekly Payout)

Educational Qualification

• Postgraduate: MCA / BCA
• Undergraduate: B.Tech / B.E. (Any Specialization)

Role Overview

We are seeking a skilled Agentic AI Engineer with 2–3 years of hands-on experience in building RAG pipelines, AI agents, and multi-agent systems using modern LLM frameworks.

This is a remote, work-from-home role with weekly payouts on an hourly basis, ideal for professionals experienced in agent orchestration, LLM integrations, and AI system development.

Key Responsibilities

• Design and develop RAG (Retrieval-Augmented Generation) pipelines
• Build and deploy AI agents and multi-agent solutions
• Implement agent workflows using LangChain, LangGraph, Semantic Kernel, AutoGen, and Agent Kit Builder
• Integrate LLM APIs including:
• OpenAI
• Anthropic
• Gemini
• Mistral
• Develop tool-calling, planning, and orchestration logic for agent-based systems
• Implement vector search, embedding models, and RAG patterns
• Work on database integrations and API integrations
• Fine-tune LLMs and optimize agent performance
• Deploy and manage AI solutions using cloud AI services:
• Azure OpenAI
• AWS Bedrock
• GCP Vertex AI
• Implement CI/CD automation using GitHub Actions and Docker
• Develop AI solutions using Python and with relevant AI SDKs

Required Technical Skills

• Advanced Python with LLM frameworks:
• LangChain
• CrewAI
• AutoGen
• Strong experience with LLM APIs:
• OpenAI
• Anthropic
• Gemini
• Mistral
• Experience with vector databases, embeddings, and RAG architectures
• Hands-on experience in AI agent development and orchestration
• Proficiency in:
• Semantic Kernel
• AutoGen
• AgentKit
• LangChain
• LangGraph
• Strong knowledge of database and API integrations
• Experience with cloud AI platforms
• Strong understanding of tool-calling, planning, and LLM integration patterns

Experience Requirement

• 2 to 3 years of relevant hands-on experience in:
• Agentic AI development
• RAG systems
• LLM-based application development

Compensation &