AI Agent Engineer

Benzara Ecommerce; Nagli Sabapur; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Benzara Ecommerce is seeking an AI Agent Engineer to design, build, and deploy AI agents that automate content creation, research, and reporting across our ecommerce operations. The role emphasizes hands-on work with agentic frameworks and LLM APIs, integrating multiple data sources and tools to replace manual workflows with reliable automation.

You will architect multi-step pipelines, monitor production, and collaborate with cross-functional teams to deliver scalable solutions for product data,

Qualifications

• Hands-on experience with agentic AI frameworks and LLM APIs.
• Strong knowledge of Generative AI, LLMs, and prompt engineering.
• Experience with REST APIs, JSON, and webhooks.
• Familiarity with RAG pipelines and vector databases is a plus.
• Experience with automation tools like n8n, Make, Zapier, or Power Automate.
• Proficiency with Excel/CSV and structured data handling; basic SQL.

Responsibilities

• Design, build, and deploy AI agents for content creation, research, and reporting workflows.
• Architect multi-step agent pipelines that plan, call tools/APIs, and self-correct with minimal supervision.
• Monitor deployed agents and automated workflows in production; identify, debug, and fix errors or failures.
• Automate product data collection, cleaning, categorization, attribute mapping, and validation.
• Integrate with reporting tools such as Google Sheets/Looker Studio or Power BI where relevant.
• Collaborate with business and operations teams to translate requirements into automation solutions and maintain documentation.

Skills

Python

LangChain

LangGraph

CrewAI

AutoGen

OpenAI/Claude Agents SDKs

LLMs

Prompt engineering

REST APIs

JSON

Webhooks

API Integrations

n8n

Make

Zapier

Power Automate

Excel

CSV

SQL

Image processing

E-commerce integrations

Data handling

Tools

LangChain

LangGraph

CrewAI

AutoGen

OpenAI Agents SDK

Claude Agents SDK

Job description

About the Role

We are looking for an AI Agent Engineer who can design, build, and deploy AI agents to automate content creation, research, and reporting workflows across our e-commerce operations. The ideal candidate is hands-on with agentic AI frameworks and LLM APIs, comfortable integrating multiple data sources and tools, and motivated to replace manual, repetitive work with reliable automated pipelines.

Focus: AI Agents & Agentic Frameworks, Generative AI/LLMs, Python, APIs, Content Automation, Research Automation, and Reporting Automation.

Roles & Responsibilities

Agent Development & Deployment

• Design, build, and deploy AI agents using agentic frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, or similar) for real business workflows.
• Architect multi-step agent pipelines that plan, call tools/APIs, and self-correct with minimal supervision.
• Monitor deployed agents and automated workflows in production; identify, debug, and fix errors or failures.

Content Automation

• Use LLMs and AI tools to automate content creation product titles, descriptions, specifications, keywords, and marketing copy.
• Build automation for product data collection, cleaning, categorization, attribute mapping, and validation.
• Work with AI-based image processing, enhancement, background removal, and image generation tools.

Research Automation

• Build agents that gather and summarize market, competitor, and product research from multiple online sources.
• Automate structured extraction of research findings into usable formats for the marketing and merchandising teams.

Reporting & Analytics Automation

• Build agent-driven tools for sales, inventory, pricing, and product performance reporting.
• Automate recurring reports (e.g., SEO, PPC, marketplace performance) by pulling data via APIs/Sheets and generating LLM-summarized outputs.
• Integrate with reporting tools such as Google Sheets/Looker Studio or Power BI where relevant.

Integration & Data

• Integrate internal systems and external platforms (marketplaces, portals, tools) using REST APIs and webhooks.
• Automate product uploads/updates across marketplace and internal portals.
• Work with product catalogues and structured/unstructured data in Excel, CSV, JSON, and SQL.
• Build AI-based solutions to support customer query handling.

Collaboration & Documentation

• Collaborate with business and operations teams to translate requirements into automation solutions.
• Maintain clear documentation for agent workflows, APIs, and automation logic.
• Continuously evaluate new AI/automation tools and recommend practical adoption.

Key Skills Required

• Good working knowledge of Python.
• Hands-on experience with agentic AI frameworks LangChain, LangGraph, CrewAI, AutoGen, or the OpenAI/Claude Agents SDKs (at least one required).
• Strong understanding of Generative AI, LLMs, and prompt engineering.
• Experience with LLM APIs (OpenAI, Anthropic Claude, or similar).
• Familiarity with RAG pipelines and vector databases (e.g., Pinecone, Chroma, FAISS) is a plus.
• Good understanding of REST APIs, JSON, webhooks, and third-party API integrations.
• Experience with automation platforms such as n8n, Make, Zapier, or Power Automate.
• Good knowledge of Excel/CSV and structured data handling; basic SQL.
• Knowledge of AI-based image processing/generation tools is an advantage.
• Understanding of e-commerce platforms or marketplace integrations is an advantage.
• Strong analytical and problem-solving skills, with the ability to convert business requirements into working technical solutions.
• Strong learning ability and willingness to work with new AI tools and technologies.

Preferred Experience

• 1-2 years of experience in AI/AI-agentic development, GenAI, automation, Python, or API integration is preferred; strong candidates with fewer years but substantial hands-on agentic AI projects will also be considered.
• Candidates with demonstrable personal or academic projects involving AI agents or automation pipelines (e.g., a GitHub repo or portfolio) will be preferred.