AI/ Artificial intelligence Lead

GSPANN Technologies, Inc; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

GSPANN Technologies, Inc. in India seeks a senior AI/GenAI architect to lead end-to-end AI/GenAI implementations across Gurgaon, Hyderabad, Noida, and Pune. You will design agents, develop RAG pipelines, and mentor teams, delivering scalable backend services and engage with stakeholders for continuous delivery.

The role requires 8–12 years in Python/Java/Spring Boot/React, experience with agent frameworks, LangChain/LlamaIndex, and AI cloud platforms. Ecommerce domain expertise is preferred.

Qualifications

• 8–12 years of experience in application development with Python/Java/Spring Boot/React, agent tech & ecommerce domain.
• Experience with AWS services and security/perf concepts.
• Experience building Agents, RAG pipelines, multi-agent orchestration.
• Experience with agent orchestration frameworks (LangChain, LlamaIndex, SemKernel).
• Proficiency with LLM APIs and AI cloud platforms (Azure OpenAI, AWS Bedrock, Vertex AI).
• Experience in ecommerce domain (B2B/B2C) and ecommerce platforms.
• Familiarity with DevOps practices for AI apps and Agile/SCRUM.
• Ability to lead teams and deliver AI solutions.

Responsibilities

• Lead end-to-end implementation of AI/GenAI applications.
• Develop agents using Agentic frameworks.
• Implement RAG pipelines and leverage agent orchestration frameworks.
• Lead development teams and perform code reviews.
• Integrate AI solutions with enterprise APIs and systems.
• Follow secure coding practices while developing backend services and UX.
• Work with product owners/managers/architects to understand requirements.
• Design and develop proofs of concepts.
• Provide status updates to management.
• Participate in daily scrum, sprint planning, reviews, demos, retrospectives and grooming.

Skills

Python

Java

Spring Boot

React/Next.js

Agent frameworks

ML/LLM APIs

AWS

LangChain

Semantic Kernel

Ecommerce domain

DevOps AI

SCRUM/Agile

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Google Vertex AI

Azure OpenAI

AWS Bedrock

Job description

Locations: Gurgaon, Hyderabad, Noida, Pune

Key Responsibilities

• Lead end-to-end implementation of AI/GenAI applications
• Develop agents using Agentic frameworks
• Implement RAG pipelines and leverage agent orchestration frameworks
• Lead development teams and perform code reviews
• Integrate AI solutions with enterprise APIs and systems
• Follow enterprise best practices in coding, design principles, secure coding practices while developing backend services and user experience
• Work with product Owner/Managers/Architect to understand requirements
• Design and develop Proof of Concepts
• Identify problems and effectively communicate solutions to peers and management on the improvements
• Troubleshooting and maintenance of developed applications
• Coach and guide other team members
• Engage with stakeholders and support solution delivery
• Provide daily, weekly updates and corresponding status reports to management
• Participate in daily scrum, sprint planning, reviews, demos, retrospectives and grooming sessions

Required Skills

• 8–12 years of experience in application development with Python, Java, Spring Boot ,React/Next.js, Agent development frameworks technologies and eCommerce domain
• Experience of AWS is highly desired - S3, IAM, SQS, SNS, Lambda, DynamoDB, CloudWatch, EC2, API Gateway, VPC and other AWS networking basics, security groups, administration basics , vertical and horizontal scaling.
• Experience building Agents, RAG pipelines, Multi Agent Orchestration, Agentic workflows.
• Experience working with agent orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.)
• Proficiency with LLM APIs and AI cloud platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI)
• Good experience with development Agents using frameworks like AutoGen, Google ADK etc.
• Experience in Ecommerce domain (B2B, B2C) is Mandatory.
• Experience ecommerce platforms, CMS, DAM, PIM, OMS, Payment, Loyalty etc.
• Good experience in leverage AI Assistants like Claude, Copilot, Cursor.
• Experience in prompt engineering and embeddings
• Familiarity in DevOps practices of AI applications
• Experience working in an Agile/SCRUM model.
• Ability to lead teams and deliver AI solutions
• Strong problem-solving and debugging skills