GenAI / Agentic AI Engineer

Arting Digital Private Limited; Shahjahanpur; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Arting Digital Private Limited is seeking a Senior GenAI / Agentic AI Engineer in India to design, build, and deploy production-grade GenAI solutions. You will lead multi-agent architectures, RAG pipelines, and tool integrations, delivering scalable Python-based services in cloud environments.

The role emphasizes hands-on implementation with LangGraph, LangChain, and agentic frameworks, ensuring robust observability, security, and enterprise-grade integrations across Azure, AWS, or GCP.

Qualifications

• 8+ years of software engineering with GenAI/Agentic AI delivery.
• Hands-on with LLMs, RAG, vector DBs, and agentic frameworks.
• Strong understanding of multi-agent architecture, HITL, guardrails, and observability.
• Experience with Azure or equivalent cloud services (AWS/GCP).

Responsibilities

• Design and develop LLM-powered applications using OpenAI, Anthropic, Azure OpenAI.
• Build multi-agent systems using LangGraph, LangChain, AutoGen, CrewAI, or similar frameworks.
• Develop RAG pipelines, AI agents, tool calling, memory, planning, guardrails, and HITL workflows.
• Build scalable APIs and services using Python, FastAPI, and async programming.
• Work with vector databases such as FAISS, Pinecone, and pgvector.
• Implement prompt engineering, LLM evaluation, monitoring, and observability.
• Deploy solutions on Azure/AWS/GCP, with enterprise integrations.

Skills

GenAI delivery

LLMs

Multi-agent architecture

Azure cloud

Python & FastAPI

Vector DBs

Tools

LangGraph

LangChain

AutoGen

CrewAI

FAISS

Pinecone

pgvector

Job description

Arting Digital Private Limited | Full time

Position :GenAI / Agentic AI Engineer
Experience: 8+ Years

Role Overview

We are looking for a Senior GenAI / Agentic AI Engineer with strong hands-on experience building and deploying production-grade GenAI and Agentic AI solutions .

Key Responsibilities

• Design and develop LLM-powered applications using OpenAI, Anthropic, Azure OpenAI .
• Build multi-agent systems using LangGraph, LangChain, AutoGen, CrewAI, or similar frameworks.
• Develop RAG pipelines, AI agents, tool calling, memory, planning, guardrails, and HITL workflows .
• Build scalable APIs and services using Python, FastAPI, and async programming .
• Work with vector databases such as FAISS, Pinecone, and pgvector .
• Implement prompt engineering, LLM evaluation, monitoring, and observability .
• Deploy solutions on Azure/AWS/GCP , with understanding of secure credential management, RBAC, Managed Identity, and enterprise integrations.
• Integrate with platforms such as Microsoft Graph API, Power Automate, and Salesforce .
• Make sound architectural decisions between deterministic workflows and LLM-based judgment .

Must-Have Skills

• 8+ years software engineering experience with strong GenAI/Agentic AI delivery experience.
• Hands-on with LLMs, RAG, vector DBs, and agentic frameworks .
• Strong understanding of multi-agent architecture, HITL, guardrails, and observability .
• Experience with Azure or equivalent AWS/GCP cloud services .

Good to Have: n8n/workflow automation, Docker/Kubernetes, CI/CD, LLM cost & performance optimization.