AI Lead
First seen by Alion on Sep 23, 2026.
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.
Skills
AI Architecture, Artificial Intelligence, Python, Java, AWS, RAG, LLM, eCommerce