Artificial Intelligence Developer

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.
• Strong architectural leadership and stakeholder management skills.
• Experience delivering enterprise-scale AI/GenAI solutions.