GenAI Agentic AI Engineer

Arting Digital; Shahjahanpur; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Arting Digital in India seeks a Senior GenAI / Agentic AI Engineer to lead the design, development and deployment of production-grade GenAI solutions.

The role requires hands-on experience with LLMs, multi-agent systems, and scalable APIs using Python and FastAPI, with cloud deployments across Azure/AWS/GCP.

Qualifications

• 8+ years software engineering with GenAI delivery.
• Production deployment experience.
• Strong Python + FastAPI skills.
• Experience with Azure or AWS/GCP cloud services.
• Familiarity with HITL, guardrails, and observability.

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.

Skills

GenAI deployment

Production-grade AI

Python + FastAPI

LLMs & RAG

Multi-agent systems

Cloud platforms (Azure/AWS/GCP)

Tools

LangGraph

LangChain

AutoGen

CrewAI

FAISS

Pinecone

pgvector

Job description

Job Description:

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

Location: Gurgaon / Mumbai / Bangalore

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.
• Proven production deployment experience—not just POCs.
• Strong Python + FastAPI skills.
• 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.

Requirements