Key Requirements
5+ years of experience in Python development.
3+ years of hands-on AWS experience.
Strong practical experience in Generative AI and LLM-based application development.
Hands-on experience with AWS Bedrock is mandatory.
Strong understanding of RAG, AI Agents, MCP, vector databases, and semantic search.
Experience designing serverless and cloud-native architectures.
Experience with containerization and production-grade AI deployments.
Strong REST API development experience.
Experience with Infrastructure as Code, preferably AWS CloudFormation.
Strong problem-solving and analytical skills.
Excellent stakeholder management and communication skills.
Ability to independently drive technical PoCs and enterprise AI initiatives.
Preferred Skills
Experience building multi-agent systems.
Experience with enterprise GenAI implementations.
Experience with LLM evaluation and model monitoring.
Knowledge of AI governance and responsible AI frameworks.
Experience with cloud observability and production monitoring.
Experience working in large enterprise or BFSI environments.
Ability to communicate complex AI concepts to both technical and non-technical stakeholders.