AI/GenAI - Technical Lead

GSPANN; Dadri, Hyderabad, Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

GSPANN Technologies, Inc. seeks a seasoned AI/GenAI lead to drive end-to-end AI projects. You will craft secure, scalable backend services with Java/Spring Boot and integrate AI agents using modern frameworks. Collaboration with product and architecture teams is essential to deliver robust solutions for ecommerce domains.

The role involves building RAG pipelines, agent orchestration, and coaching junior engineers in an agile, SCRUM-driven environment.

Qualifications

• 8+ years of experience in application development with Python, Java, Spring Boot, React/Next.js, Agent frameworks and ecommerce domain.

Responsibilities

• Lead end-to-end implementation of AI/GenAI applications.
• Implement high quality, secure, scalable, reusable code in an agile, test-driven environment using Java and 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, secure coding while developing backend services and UX.
• Collaborate with Product Owners/Managers/Architects to gather requirements.
• Design and develop Proofs of Concepts.
• Identify problems and communicate solutions to peers and management.
• Troubleshooting and maintenance of applications.
• Coach and guide team members.
• Engage with stakeholders and support solution delivery; provide status reports.
• Participate in daily scrum, sprint planning, reviews, demos, retrospectives and grooming sessions.

Skills

Python

Java

Spring Boot

React/Next.js

Agent development

LLM APIs

AWS

Ecommerce domain

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Azure OpenAI

AWS services (S3, IAM, Lambda)

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