Role & Responsibilities

- Design and develop scalable AI/GenAI solutions and architectures.

- Build and implement Agentic AI workflows using LangGraph/LangChain.

- Design and develop robust RAG architectures and retrieval mechanisms.

- Develop backend applications, APIs and AI solutions using Python.

- Deploy and manage AI solutions in production environments using Azure/AWS.

- Implement AI security, governance, monitoring and observability practices.

- Lead AI architecture discussions and collaborate with stakeholders.

- Translate business requirements into scalable and reliable AI solutions.

Preferred Candidate Profile

- 810 years of overall IT experience.

- Strong experience in AI/GenAI solution architecture.

- Hands-on experience with Agentic AI frameworks such as LangGraph and LangChain.

- Strong understanding of RAG architecture, vector databases and retrieval techniques.

- Excellent Python programming and backend/API development skills.

- Experience with production deployment on Azure or AWS.

- Knowledge of AI security, governance and observability.

- Solid architectural leadership and stakeholder management skills.

- Experience delivering enterprise-scale AI/GenAI solutions.

📌 Artificial Intelligence Developer (Bengaluru)
🏢 The Glove
📍 Bengaluru