Role : AI Lead

Key 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.

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.

- Client-facing communication experience.