Technical Lead - AI

GSPANN; Dadri, Hyderabad, Gurugram District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

GSPANN Technologies, Inc. seeks an experienced AI/GenAI engineer to lead end-to-end AI projects in an Agile environment. You will develop scalable backend services in Java/Spring Boot, build agents with LangChain and related frameworks, and design RAG pipelines integrated with enterprise APIs.

Collaboration with product managers and architects is essential. The role requires strong problem-solving, debugging, and client-facing communication skills, with hands-on experience in Ecommerce domains

Qualifications

• 812 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 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
• Client-facing communication experience

Responsibilities

• Lead end-to-end implementation of AI/GenAI applications
• Implement high quality, secure, scalable, reusable code in an agile, test-driven development environment utilizing Java, Spring Boot
• 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

Skills

AI/GenAI

Java

Spring Boot

Python

React/Next.js

Agent development

Ecommerce domain

Tools

AWS

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Google ADK

Azure OpenAI

AWS Bedrock

Vertex AI

Job description

Role & responsibilities

• Lead end-to-end implementation of AI/GenAI applications
• Implement high quality, secure, scalable, reusable code in an agile, test-driven development environment utilizing Java, Spring Boot
• 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

Preferred candidate profile

• 812 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
• Client-facing communication experience